All Stories

  1. A method for predicting linear and conformational B-cell epitopes in an antigen from its primary sequence
  2. AntiBP3: A Method for Predicting Antibacterial Peptides against Gram-Positive/Negative/Variable Bacteria
  3. Risk assessment of cancer patients based on HLA-I alleles, neobinders and expression of cytokines
  4. A Highly Accurate Model for Screening Prostate Cancer Using Propensity Index Panel of Ten Genes
  5. Multi‐perspectives and challenges in identifying B‐cell epitopes
  6. A Deep Learning method for classification of HNSCC and HPV patients using single-cell transcriptomics
  7. ToxinPred 3.0: An improved method for predicting the toxicity of peptides
  8. A random forest model for predicting exosomal proteins using evolutionary information and motifs
  9. AntiBP3: A hybrid method for predicting antibacterial peptides against gram-positive/negative/variable bacteria
  10. HLA-DR4Pred2: an improved method for predicting HLA-DRB1*04:01 binders
  11. Prediction of Alzheimer’s Disease from Single Cell Transcriptomics Using Deep Learning
  12. Hmrbase2: a comprehensive database of hormones and their receptors
  13. TNFepitope: A webserver for the prediction of TNF-α inducing epitopes
  14. Prediction of peptide hormones using an ensemble of machine learning and similarity-based methods
  15. A web server for predicting and scanning of IL-5 inducing peptides using alignment-free and alignment-based method
  16. ViralVacDB: A manually curated repository of viral vaccines
  17. A hybrid method for discovering interferon-gamma inducing peptides in human and mouse
  18. Hmrbase2: A comprehensive database of hormones and their receptors
  19. A random forest model for predicting exosomal proteins using evolutionary information and motifs
  20. A method for predicting linear and conformational B-cell epitopes in an antigen from its primary sequence
  21. A hybrid approach for predicting multi-label subcellular localization of mRNA at genome scale
  22. SalivaDB—a comprehensive database for salivary biomarkers in humans
  23. Advances in the field of phage-based therapy with special emphasis on computational resources
  24. DMPPred: a tool for identification of antigenic regions responsible for inducing type 1 diabetes mellitus
  25. Prediction of RNA-interacting residues in a protein using CNN and evolutionary profile
  26. In silico method for predicting infectious strains of influenza A virus from its genome and protein sequences
  27. Prediction and scanning of IL-5 inducing peptides using alignment-free and alignment-based method
  28. Risk assessment of cancer patients based on HLA-I alleles, neobinders and expression of cytokines
  29. Collection, compilation and analysis of bacterial vaccines
  30. A deep learning-based method for the prediction of DNA interacting residues in a protein
  31. Prediction, scanning and designing of TNF-α inducing epitopes for human and mouse
  32. Prediction of celiac disease associated epitopes and motifs in a protein
  33. Identification of Antigenic Regions Responsible for inducing Type 1 diabetes mellitus
  34. A hybrid approach for predicting transcription factors
  35. Prediction of RNA-interacting residues in a protein using CNN and evolutionary profile
  36. An ensemble method for designing phage-based therapy against bacterial infections
  37. ToxinPred2: an improved method for predicting toxicity of proteins
  38. HLAncPred: a method for predicting promiscuous non-classical HLA binding sites
  39. IL13Pred: A method for predicting immunoregulatory cytokine IL-13 inducing peptides
  40. In-silico method for predicting infectious strains of Influenza A virus from its genome and protein sequences
  41. Prediction of risk-associated genes and high-risk liver cancer patients from their mutation profile: benchmarking of mutation calling techniques
  42. In silico tools and databases for designing cancer immunotherapy
  43. Prediction of high-risk liver cancer patients from their mutation profile: Benchmarking of mutation calling techniques
  44. Nfeature: A platform for computing features of nucleotide sequences
  45. HLAncPred: A method for predicting promiscuous non-classical HLA binding sites
  46. ProCanBio: A Database of Manually Curated Biomarkers for Prostate Cancer
  47. In-Silico Tool for Predicting, Scanning, and Designing Defensins
  48. Prognostic biomarkers for predicting papillary thyroid carcinoma patients at high risk using nine genes of apoptotic pathway
  49. Computational resources in healthcare
  50. In Silico Design of Chemically Modified Cell-Penetrating Peptides
  51. Universal and cross‐cancer prognostic biomarkers for predicting survival risk of cancer patients from expression profile of apoptotic pathway genes
  52. Computer-aided prediction of inhibitors against STAT3 for managing COVID-19 associated cytokine storm
  53. IL13Pred: A method for predicting immunoregulatory cytokine IL-13 inducing peptides for managing COVID-19 severity
  54. Transcriptomics based prediction of metastasis in TNBC patients: Challenges in cross-platforms validation
  55. Computational resources in the management of antibiotic resistance: Speeding up drug discovery
  56. ChAlPred: A web server for prediction of allergenicity of chemical compounds
  57. B3Pred: A Random-Forest-Based Method for Predicting and Designing Blood–Brain Barrier Penetrating Peptides
  58. DBpred: A deep learning method for the prediction of DNA interacting residues in protein sequences
  59. B3Pdb: an archive of blood–brain barrier-penetrating peptides
  60. Sigma70Pred: A highly accurate method for predicting sigma70 promoter in prokaryotic genome
  61. Prediction of antibiotic resistant strains of bacteria from their beta-lactamases protein
  62. Prognostic Biomarker-Based Identification of Drugs for Managing the Treatment of Endometrial Cancer
  63. In silico model for predicting IL-2 inducing peptides in human
  64. In silico tool for predicting and designing Blood-Brain Barrier Penetrating Peptides
  65. ProCanBio: a database of manually curated biomarkers for Prostate Cancer
  66. Computer-aided prediction of inhibitors against STAT3 for managing COVID-19 associate cytokine storm
  67. Prediction of pancreatic adenocarcinoma patient risk status using alternative splicing events
  68. Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth
  69. SAPdb: A database of short peptides and the corresponding nanostructures formed by self-assembly
  70. ChAlPred: A Web Server for Prediction of Allergenicity of Chemical Compounds
  71. Computational resources for identification of cancer biomarkers from omics data
  72. FermFooDb: A database of bioactive peptides derived from fermented foods
  73. A highly accurate model for screening prostate cancer using propensity index panel of ten genes
  74. Crowdsourcing digital health measures to predict Parkinson’s disease severity: the Parkinson’s Disease Digital Biomarker DREAM Challenge
  75. Integrative multi-omics approach for stratification of tumor recurrence risk groups of Hepatocellular Carcinoma patients
  76. In-silico identification of subunit vaccine candidates against lung cancer-associated oncogenic viruses
  77. A Web-Based Platform on Coronavirus Disease-19 to Maintain Predicted Diagnostic, Drug, and Vaccine Candidates
  78. Pattern Recognition Receptor based Prognostic Biomarkers for predicting Survival of Uterine Corpus Endometrial Cancer Patients
  79. Prognostic Biomarkers for Predicting Papillary Thyroid Carcinoma Patients at High Risk Using Nine Genes of Apoptotic Pathway
  80. AlgPred 2.0: an improved method for predicting allergenic proteins and mapping of IgE epitopes
  81. Computer-aided prediction and design of IL-6 inducing peptides: IL-6 plays a crucial role in COVID-19
  82. Potential Challenges for Coronavirus (SARS-CoV-2) Vaccines Under Trial
  83. CancerEnD: A database of cancer associated enhancers
  84. OvirusTdb: A database of oncolytic viruses for the advancement of therapeutics in cancer
  85. AntiCP 2.0: an updated model for predicting anticancer peptides
  86. Analysis and prediction of cholangiocarcinoma from transcriptomic profile of patients
  87. Risk prediction in cutaneous melanoma patients from their clinico-pathological features: superiority of clinical data over gene expression data
  88. Identification of prognostic biomarkers for major subtypes of non-small-cell lung cancer using genomic and clinical data
  89. Community Assessment of the Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics
  90. Computer-aided designing of oncolytic viruses for overcoming translational challenges of cancer immunotherapy
  91. DenvInD: dengue virus inhibitors database for clinical and molecular research
  92. Expression based biomarkers and models to classify early and late-stage samples of Papillary Thyroid Carcinoma
  93. Computing Skin Cutaneous Melanoma Outcome From the HLA-Alleles and Clinical Characteristics
  94. AntiCP 2.0: An updated model for predicting anticancer peptides
  95. A Method for Predicting Hemolytic Potency of Chemically Modified Peptides From Its Structure
  96. A Hybrid Model for Predicting Pattern Recognition Receptors Using Evolutionary Information
  97. SAMbinder: A Web Server for Predicting S-Adenosyl-L-Methionine Binding Residues of a Protein From Its Amino Acid Sequence
  98. A repository of web-based bioinformatics resources developed in India
  99. Identification of Platform-Independent Diagnostic Biomarker Panel for Hepatocellular Carcinoma Using Large-Scale Transcriptomics Data
  100. CancerLivER: a database of liver cancer gene expression resources and biomarkers
  101. Computing Skin Cutaneous Melanoma Outcome from the HLA-alleles and Clinical Characteristics
  102. A Hybrid Model for Predicting Pattern Recognition Receptors using Evolutionary Information
  103. NAGbinder: An approach for identifying N‐acetylglucosamine interacting residues of a protein from its primary sequence
  104. GPSRdocker: A Docker-based Resource for Genomics, Proteomics and Systems biology
  105. Prediction and Analysis of Skin Cancer Progression using Genomics Profiles of Patients
  106. Prediction of risk scores for colorectal cancer patients from the concentration of proteins involved in mitochondrial apoptotic pathway
  107. Docking‐based approach for identification of mutations that disrupt binding between Bcl‐2 and Bax proteins: Inducing apoptosis in cancer cells
  108. Classification of early and late stage liver hepatocellular carcinoma patients from their genomics and epigenomics profiles
  109. Identification of Platform-Independent Diagnostic Biomarker Panel for Hepatocellular Carcinoma using Large-scale Transcriptomics Data
  110. In Silico Analysis of Gene Expression Change Associated with Copy Number of Enhancers in Pancreatic Adenocarcinoma
  111. SAPdb: A database of nanostructures formed by self-assembly of short peptides
  112. Prediction of risk scores for colorectal cancer patients from the concentration of proteins involved in mitochondrial apoptotic pathway
  113. SAMbinder: A web server for predicting SAM binding residues of a protein from its amino acid sequence
  114. Computing wide range of protein/peptide features from their sequence and structure
  115. APBioNet's annual International Conference on Bioinformatics (InCoB) returns to India in 2018
  116. HumCFS: a database of fragile sites in human chromosomes
  117. NeuroPIpred: a tool to predict, design and scan insect neuropeptides
  118. Peptide Secondary Structure Prediction using Evolutionary Information
  119. Benchmarking of different molecular docking methods for protein-peptide docking
  120. Large expert-curated database for benchmarking document
  121. RareLSD: a manually curated database of lysosomal enzymes associated with rare diseases
  122. ccPDB 2.0: an updated version of datasets created and compiled from Protein Data Bank
  123. ImmunoSPdb: an archive of immunosuppressive peptides
  124. PRRDB 2.0: a comprehensive database of pattern-recognition receptors and their ligands
  125. Prediction of Antimicrobial Potential of a Chemically Modified Peptide From Its Tertiary Structure
  126. A Web Resource for Designing Subunit Vaccine Against Major Pathogenic Species of Bacteria
  127. Prediction of Antitubercular Peptides From Sequence Information Using Ensemble Classifier and Hybrid Features
  128. Expression based biomarkers and models to classify early and late stage samples of Papillary Thyroid Carcinoma
  129. Overview of free software developed for designing drugs based on protein-small molecules interaction
  130. Prediction and analysis of skin cancer progression using genomics profiles of patients
  131. Computer-aided prediction of antigen presenting cell modulators for designing peptide-based vaccine adjuvants
  132. In silico approaches for predicting the half-life of natural and modified peptides in blood
  133. A web bench for analysis and prediction of oncological status from proteomics data of urine samples
  134. Prediction of Cell-Penetrating Potential of Modified Peptides Containing Natural and Chemically Modified Residues
  135. Classification of early and late stage Liver Hepatocellular Carcinoma patients from their genomics and epigenomics profiles
  136. In Silico Approach for Prediction of Antifungal Peptides
  137. TopicalPdb: A database of topically delivered peptides
  138. In Silico Tools and Databases for Designing Peptide-Based Vaccine and Drugs
  139. AntiTbPdb: a knowledgebase of anti-tubercular peptides
  140. Human Opinion Inspired Feature Selection Strategy for Predicting the Pleasantness of a Molecule
  141. Computer-aided prediction of antigen presenting cell modulators for designing peptide-based vaccine adjuvants
  142. HumCFS: A database of fragile sites in human chromosomes
  143. Evaluation of protein-ligand docking methods on peptide-ligand complexes for docking small ligands to peptides
  144. Prediction of residue-residue contacts in CASP12 targets from its predicted tertiary structures
  145. Challenges in Prediction of different Cancer Stages using Gene Expression Profile of Cancer Patients
  146. In silico analysis to identify vaccine candidates common to multiple serotypes of Shigella and evaluation of their immunogenicity
  147. THPdb: Database of FDA-approved peptide and protein therapeutics
  148. CancerPDF: A repository of cancer-associated peptidome found in human biofluids
  149. Assessing therapeutic potential of molecules: molecular property diagnostic suite for tuberculosis $$(\mathbf{MPDS}^{\mathbf{TB}})$$ ( MPDS TB )
  150. Anticancer properties of a defensin like class IId bacteriocin Laterosporulin10
  151. Gene expression-based biomarkers for discriminating early and late stage of clear cell renal cancer
  152. Predicting human olfactory perception from chemical features of odor molecules
  153. Computer-aided designing of immunosuppressive peptides based on IL-10 inducing potential
  154. Computational Prediction of the Immunomodulatory Potential of RNA Sequences
  155. A Platform for Designing Genome-Based Personalized Immunotherapy or Vaccine against Cancer
  156. PEPlife: A Repository of the Half-life of Peptides
  157. ZikaVR: An Integrated Zika Virus Resource for Genomics, Proteomics, Phylogenetic and Therapeutic Analysis
  158. ProCarDB: a database of bacterial carotenoids
  159. Topical Delivery of Protein and Peptide Using Novel Cell Penetrating Peptide IMT-P8
  160. A web-based resource for designing therapeutics against Ebola Virus
  161. A Web-Based Platform for Designing Vaccines against Existing and Emerging Strains of Mycobacterium tuberculosis
  162. Prioritization of anticancer drugs against a cancer using genomic features of cancer cells: A step towards personalized medicine
  163. Novelin silicotools for designing peptide-based subunit vaccines and immunotherapeutics
  164. A web server for analysis, comparison and prediction of protein ligand binding sites
  165. A Web Server and Mobile App for Computing Hemolytic Potency of Peptides
  166. ApoCanD: Database of human apoptotic proteins in the context of cancer
  167. Prediction of Immunomodulatory potential of an RNA sequence for designing non-toxic siRNAs and RNA-based vaccine adjuvants
  168. Prediction of anticancer molecules using hybrid model developed on molecules screened against NCI-60 cancer cell lines
  169. Cell-penetrating peptide and antibiotic combination therapy: a potential alternative to combat drug resistance in methicillin-resistant Staphylococcus aureus
  170. BLAST-based structural annotation of protein residues using Protein Data Bank
  171. dbEM: A database of epigenetic modifiers curated from cancerous and normal genomes
  172. Managing Drug Resistance in Cancer: Role of Cancer Informatics
  173. BIS-CATTLE: A Web Server for Breed Identification using Microsatellite DNA Markers
  174. PEPstrMOD: structure prediction of peptides containing natural, non-natural and modified residues
  175. CPPsite 2.0: a repository of experimentally validated cell-penetrating peptides
  176. In Silico Designing and Screening of Antagonists against Cancer Drug Target XIAP
  177. SATPdb: a database of structurally annotated therapeutic peptides
  178. AntiAngioPred: A Server for Prediction of Anti-Angiogenic Peptides
  179. VaccineDA: Prediction, design and genome-wide screening of oligodeoxynucleotide-based vaccine adjuvants
  180. An in silico platform for predicting, screening and designing of antihypertensive peptides
  181. Identification of protein-interacting nucleotides in a RNA sequence using composition profile of tri-nucleotides
  182. QSAR based model for discriminating EGFR inhibitors and non-inhibitors using Random forest
  183. In silicoplatform for predicting and initiating β-turns in a protein at desired locations
  184. Assessment of SYBR Green I Dye-Based Fluorescence Assay for Screening Antimalarial Activity of Cationic Peptides and DNA Intercalating Agents
  185. Designing B-Cell Epitopes for Immunotherapy and Subunit Vaccines
  186. Computer-Aided Virtual Screening and Designing of Cell-Penetrating Peptides
  187. Identification and characterization of novel protein-derived arginine-rich cell-penetrating peptides
  188. Peptide Toxicity Prediction
  189. ω-Turn: A novel β-turn mimic in globular proteins stabilized by main-chain to side-chain CH···O interaction
  190. AHTPDB: a comprehensive platform for analysis and presentation of antihypertensive peptides
  191. CancerPPD: a database of anticancer peptides and proteins
  192. Evaluation of Protein Dihedral Angle Prediction Methods
  193. QSAR-Based Models for Designing Quinazoline/Imidazothiazoles/Pyrazolopyrimidines Based Inhibitors against Wild and Mutant EGFR
  194. ParaPep: a web resource for experimentally validated antiparasitic peptide sequences and their structures
  195. Tumor Homing Peptides as Molecular Probes for Cancer Therapeutics, Diagnostics and Theranostics
  196. Designing of promiscuous inhibitors against pancreatic cancer cell lines
  197. Herceptin Resistance Database for Understanding Mechanism of Resistance in Breast Cancer Patients
  198. EGFRIndb: Epidermal Growth Factor Receptor Inhibitor Database
  199. PCMdb: Pancreatic Cancer Methylation Database
  200. Designing of peptides with desired half-life in intestine-like environment
  201. Prediction of uridine modifications in tRNA sequences
  202. Prediction and classification of ncRNAs using structural information
  203. Genes Involved in Degradation of para-Nitrophenol Are Differentially Arranged in Form of Non-Contiguous Gene Clusters in Burkholderia sp. strain SJ98
  204. Designing of interferon-gamma inducing MHC class-II binders
  205. DrugMint: a webserver for predicting and designing of drug-like molecules
  206. Identification of B-cell epitopes in an antigen for inducing specific class of antibodies
  207. Hemolytik: a database of experimentally determined hemolytic and non-hemolytic peptides
  208. In Silico Models for Designing and Discovering Novel Anticancer Peptides
  209. In Silico Approach for Predicting Toxicity of Peptides and Proteins
  210. Genome Annotation of Burkholderia sp. SJ98 with Special Focus on Chemotaxis Genes
  211. In silico Platform for Prediction of N-, O- and C-Glycosites in Eukaryotic Protein Sequences
  212. Improved Method for Linear B-Cell Epitope Prediction Using Antigen’s Primary Sequence
  213. Open Source Software and Web Services for Designing Therapeutic Molecules
  214. Draft Genome Sequence of Streptomyces gancidicus Strain BKS 13-15
  215. Hybrid Approach for Predicting Coreceptor Used by HIV-1 from Its V3 Loop Amino Acid Sequence
  216. Computational approach for designing tumor homing peptides
  217. Draft Genome Sequence of Acinetobacter baumannii Strain MSP4-16
  218. Draft Genome Sequence of Amycolatopsis decaplanina Strain DSM 44594T
  219. Draft Genome Sequence of Rhodococcus ruber Strain BKS 20-38
  220. Draft Genome Sequence of Rhodococcus qingshengii Strain BKS 20-40
  221. Draft Genome Sequence of Rhodococcus triatomae Strain BKS 15-14
  222. CancerDR: Cancer Drug Resistance Database
  223. Draft Genome Sequence of the 2-Chloro-4-Nitrophenol-Degrading Bacterium Arthrobacter sp. Strain SJCon
  224. Genome Sequence of the "Indian Bison Type" Biotype of Mycobacterium avium subsp. paratuberculosis Strain S5
  225. Draft Genome Sequence of the Type Species of the Genus Citrobacter, Citrobacter freundii MTCC 1658
  226. Prediction of vitamin interacting residues in a vitamin binding protein using evolutionary information
  227. In Silico Models for B-Cell Epitope Recognition and Signaling
  228. PHDcleav: a SVM based method for predicting human Dicer cleavage sites using sequence and secondary structure of miRNA precursors
  229. Development of a model webserver for breed identification using microsatellite DNA marker
  230. In silico approaches for designing highly effective cell penetrating peptides
  231. Designing of inhibitors against drug tolerant Mycobacterium tuberculosis (H37Rv)
  232. lncRNome: a comprehensive knowledgebase of human long noncoding RNAs
  233. Prediction of IL4 Inducing Peptides
  234. NPACT: Naturally Occurring Plant-based Anti-cancer Compound-Activity-Target database
  235. On the Development of Vaccine Antigen Databases: Progress, Opportunity, and Challenge
  236. Genome Sequence of the Oleaginous Red Yeast Rhodosporidium toruloides MTCC 457
  237. GlycoPP: A Webserver for Prediction of N- and O-Glycosites in Prokaryotic Protein Sequences
  238. Draft Genome Sequence of Salt-Tolerant Yeast Debaryomyces hansenii var. hansenii MTCC 234
  239. Genome Sequence of the Halotolerant Bacterium Imtechella halotolerans K1T
  240. Genome Sequence of the Marine Bacterium Marinilabilia salmonicolor JCM 21150T
  241. Draft Genome Sequence of the Nitrophenol-Degrading Actinomycete Rhodococcus imtechensis RKJ300
  242. Genome Sequence of the Nitroaromatic Compound-Degrading Bacterium Burkholderia sp. Strain SJ98
  243. TumorHoPe: A Database of Tumor Homing Peptides
  244. PolysacDB: A Database of Microbial Polysaccharide Antigens and Their Antibodies
  245. CPPsite: a curated database of cell penetrating peptides
  246. Branching of the p-nitrophenol (PNP) degradation pathway in burkholderia sp. Strain SJ98: Evidences from genetic characterization of PNP gene cluster
  247. ccPDB: compilation and creation of data sets from Protein Data Bank
  248. Machine learning competition in immunology – Prediction of HLA class I binding peptides
  249. ProGlycProt: a repository of experimentally characterized prokaryotic glycoproteins
  250. HIVsirDB: A Database of HIV Inhibiting siRNAs
  251. Identification of Mannose Interacting Residues Using Local Composition
  252. Designing of Highly Effective Complementary and Mismatch siRNAs for Silencing a Gene
  253. Open source drug discovery– A new paradigm of collaborative research in tuberculosis drug development
  254. Predicting sub-cellular localization of tRNA synthetases from their primary structures
  255. Prediction of Specificity and Cross-Reactivity of Kinase Inhibitors
  256. SVM based prediction of RNA-binding proteins using binding residues and evolutionary information
  257. A web server for predicting inhibitors against bacterial target GlmU protein
  258. Analysis and prediction of cancerlectins using evolutionary and domain information
  259. CCDB: a curated database of genes involved in cervix cancer
  260. A Simple Approach for Predicting Protein-Protein Interactions
  261. BIAdb: A curated database of benzylisoquinoline alkaloids
  262. Prediction of cytochrome P450 isoform responsible for metabolizing a drug molecule
  263. Prediction and classification of aminoacyl tRNA synthetases using PROSITE domains
  264. Prediction of FAD interacting residues in a protein from its primary sequence using evolutionary information
  265. AntiBP2: improved version of antibacterial peptide prediction
  266. Virtual Screening of potential drug-like inhibitors against Lysine/DAP pathway of Mycobacterium tuberculosis
  267. KiDoQ: using docking based energy scores to develop ligand based model for predicting antibacterials
  268. Identification of NAD interacting residues in proteins
  269. Identification of conformational B-cell Epitopes in an antigen from its primary sequence
  270. Bridging Innate and Adaptive Antitumor Immunity Targeting Glycans
  271. Prediction of GTP interacting residues, dipeptides and tripeptides in a protein from its evolutionary information
  272. Prediction of mitochondrial proteins of malaria parasite using split amino acid composition and PSSM profile
  273. AntigenDB: an immunoinformatics database of pathogen antigens
  274. Prediction and classification of chemokines and their receptors
  275. RSLpred: an integrative system for predicting subcellular localization of rice proteins combining compositional and evolutionary information
  276. Hmrbase: a database of hormones and their receptors
  277. MHCBN 4.0: A database of MHC/TAP binding peptides and T-cell epitopes
  278. Prediction of nuclear proteins using SVM and HMM models
  279. Prediction of guide strand of microRNAs from its sequence and secondary structure
  280. OxDBase: a database of oxygenases involved in biodegradation
  281. Identification of ATP binding residues of a protein from its primary sequence
  282. Prediction of Polyadenylation Signals in Human DNA Sequences using Nucleotide Frequencies
  283. Databases and Web-Based Tools for Innate Immunity
  284. ECGpred: Correlation and Prediction of Gene Expression from Nucleotide Sequence
  285. CyclinPred: A SVM-Based Method for Predicting Cyclin Protein Sequences
  286. AC2DGel: Analysis and Comparison of 2D Gels
  287. DPROT: prediction of disordered proteins using evolutionary information
  288. Computer-aided biotechnology: from immuno-informatics to reverse vaccinology
  289. Prediction of RNA binding sites in a protein using SVM and PSSM profile
  290. CytoPred: a server for prediction and classification of cytokines
  291. PRRDB: A comprehensive database of Pattern-Recognition Receptors and their ligands
  292. ESLpred2: improved method for predicting subcellular localization of eukaryotic proteins
  293. Identification of Proteins Secreted by Malaria Parasite into Erythrocyte using SVM and PSSM profiles
  294. Prediction of allergenic proteins and mapping of IgE epitopes in allergens
  295. Analysis and prediction of antibacterial peptides.
  296. Prediction and mapping of promiscuous MHC class II binders in an antigen sequence
  297. Mitpred2: an improved method for predicting mitochondrial proteins using SVM and HMM
  298. PEPstr: A de novo Method for Tertiary Structure Prediction of Small Bioactive Peptides
  299. Support Vector Machine Based Prediction of Glutathione S-Transferase Proteins
  300. Towards a consensus on datasets and evaluation metrics for developing B-cell epitope prediction tools
  301. Predicting Virulence Factors of Immunological Interest
  302. Prediction Methods for B-cell Epitopes
  303. Searching and Mapping of B-Cell Epitopes in Bcipep Database
  304. Peptide Mimotopes as Prototypic Templates of Broad-Spectrum Surrogates of Carbohydrate Antigens for Cancer Vaccination
  305. Searching Haptens, Carrier Proteins, and Anti-Hapten Antibodies
  306. Identification of DNA-binding proteins using support vector machines and evolutionary profiles
  307. Application of Machine Learning Techniques in Predicting MHC Binders
  308. Searching and Mapping of T-Cell Epitopes, MHC Binders, and TAP Binders
  309. Support Vector Machine-based method for predicting subcellular localization of mycobacterial proteins using evolutionary information and motifs
  310. A hybrid approach for predicting promiscuous MHC class I restricted T cell epitopes
  311. Analysis and prediction of antibacterial peptides
  312. Oxypred: Prediction and Classification of Oxygen-Binding Proteins
  313. TAPPred Prediction of TAP-Binding Peptides in Antigens
  314. Prediction of continuous B-cell epitopes in an antigen using recurrent neural network
  315. AlgPred: prediction of allergenic proteins and mapping of IgE epitopes
  316. Prediction of subcellular localization of proteins using pairwise sequence alignment and support vector machine
  317. HaptenDB: a comprehensive database of haptens, carrier proteins and anti-hapten antibodies
  318. Computational Methods in Genome Research
  319. VGIchan: Prediction and Classification of Voltage-Gated Ion Channels
  320. VICMpred: An SVM-based Method for the Prediction of Functional Proteins of Gram-negative Bacteria Using Amino Acid Patterns and Composition
  321. Prediction of Mitochondrial Proteins Using Support Vector Machine and Hidden Markov Model
  322. The Indian Genome Variation database (IGVdb): a project overview
  323. Real value prediction of solvent accessibility in proteins using multiple sequence alignment and secondary structure
  324. BhairPred: prediction of  -hairpins in a protein from multiple alignment information using ANN and SVM techniques
  325. GPCRsclass: a web tool for the classification of amine type of G-protein-coupled receptors
  326. Pcleavage: an SVM based method for prediction of constitutive proteasome and immunoproteasome cleavage sites in antigenic sequences
  327. PSLpred: prediction of subcellular localization of bacterial proteins
  328. Support Vector Machine-based Method for Subcellular Localization of Human Proteins Using Amino Acid Compositions, Their Order, and Similarity Search
  329. FASTA Servers for Sequence Similarity Search
  330. EGPred: Prediction of Eukaryotic Genes Using Ab Initio Methods After Combining With Sequence Similarity Approaches
  331. Prediction of CTL epitopes using QM, SVM and ANN techniques
  332. ESLpred: SVM-based method for subcellular localization of eukaryotic proteins using dipeptide composition and PSI-BLAST
  333. GPCRpred: an SVM-based method for prediction of families and subfamilies of G-protein coupled receptors
  334. A neural network method for prediction of  -turn types in proteins using evolutionary information
  335. Prediction of transmembrane regions of β-barrel proteins using ANN- and SVM-based methods
  336. Role of evolutionary information in prediction of aromatic-backbone NH interactions in proteins
  337. Classification of Nuclear Receptors Based on Amino Acid Composition and Dipeptide Composition
  338. Spectral Repeat Finder (SRF): identification of repetitive sequences using Fourier transformation
  339. Analysis and prediction of affinity of TAP binding peptides using cascade SVM
  340. Prediction of α-turns in proteins using PSI-BLAST profiles and secondary structure information
  341. SVM based method for predicting HLA-DRB1*0401 binding peptides in an antigen sequence
  342. BcePred: Prediction of Continuous B-Cell Epitopes in Antigenic Sequences Using Physico-chemical Properties
  343. BTEVAL: A Server for Evaluation of β-Turn Prediction Methods
  344. Intrinsic contributions of polar amino acid residues toward thermal stability of an ABC-ATPase of mesophilic origin
  345. Prediction of Promiscuous and High-Affinity Mutated MHC Binders
  346. ProPred1: prediction of promiscuous MHC Class-I binding sites
  347. A neural-network based method for prediction of γ-turns in proteins from multiple sequence alignment
  348. MHCBN: a comprehensive database of MHC binding and non-binding peptides
  349. Prediction of beta-turns in proteins from multiple alignment using neural network
  350. An evaluation of β-turn prediction methods
  351. Detection of Orientation of MHC Class II Binding Peptides Using Bioinformatics Tools
  352. GWFASTA: Server for FASTA Search in Eukaryotic and Microbial Genomes
  353. GWFASTA: Server for FASTA Search in Eukaryotic and Microbial Genomes
  354. BetaTPred: prediction of β-TURNS in a protein using statistical algorithms
  355. Locating probable genes using Fourier transform approach
  356. A Graphical Web Server for the Analysis of Protein Sequences and Alignment
  357. A Web Server for Computing the Size of DNA/Protein Fragments using a Graphical Method
  358. A Web-based Method for Computing Endpoint Titer and Concentration of Antibody/Antigen
  359. PDSB: Public Domain Software in Biology
  360. PDWSB: Public Domain Web Servers in Biology
  361. Mapping of the plasminogen binding site of streptokinase with short synthetic peptides
  362. Method for Determining the Affinity of Monoclonal Antibody Using Non-Competitive Elisa: A Computer Program
  363. Computational Methods in Genome Research
  364. Measurement and Computation of Murine Interleukin-4 and Interferon-γ by Exploiting the Unique Abilities of These Lymphokines to Induce the Secretion of IgG1 and IgG2a
  365. Calculation of antibody and antigen concentrations from ELISA data using a graphical method