All Stories

  1. Transcriptomic landscape of quiescent and proliferating human corneal stromal fibroblasts
  2. RNA-Seq Analysis Unraveling Novel Genes and Pathways Influencing Corneal Wound Healing
  3. Tissue-targeted and localized AAV5-DCN and AAV5-PEDF combination gene therapy abrogates corneal fibrosis and concurrent neovascularization in rabbit eyes in vivo
  4. Corneal Scarring
  5. Gene Therapy for Cornea, Conjunctiva, and Lacrimal Gland
  6. Differential gene expression and protein-protein interaction network profiling of sulfur mustard-exposed rabbit corneas employing RNA-seq data and bioinformatics tools
  7. Deep learning-based prediction model for diagnosing gastrointestinal diseases using endoscopy images
  8. Computational analysis of spike protein of SARS-CoV-2 (Omicron variant) for development of peptide-based therapeutics and diagnostics
  9. Corneal gene therapy: Structural and mechanistic understanding
  10. Artificial intelligence in intestinal polyp and colorectal cancer prediction
  11. Investigating molecular features that influence blood − brain barrier permeability of compounds
  12. Neuronal Vulnerability to Degeneration in Parkinson’s Disease and Therapeutic Approaches
  13. Unlocking the microbial studies through computational approaches: how far have we reached?
  14. Smelling the Disease: Diagnostic Potential of Breath Analysis
  15. Ligand-based Pharmacophore Modeling, Molecular Docking and Simulation Studies for the Exploration of Natural Potent Antiangiogenic Inhibitors Targeting Heat Shock Protein 90
  16. Artificial Intelligence in De novo Drug Design: Are We Still There?
  17. Developing human olfactory network and exploring olfactory receptor-odorant interaction
  18. Recent Applications of Artificial Intelligence in Early Cancer Detection
  19. Decoding seven basic odors by investigating pharmacophores and molecular features of odorants
  20. DeePred-BBB: A Blood Brain Barrier Permeability Prediction Model With Improved Accuracy
  21. Epigenetic Modifications by Estrogen and Androgen in Alzheimer’s Disease
  22. Screening of potential antigens from whole proteome and development of multi-epitope vaccine against Rhizopus delemar using immunoinformatics approaches
  23. DeepOlf: Deep Neural Network Based Architecture for Predicting Odorants and Their Interacting Olfactory Receptors
  24. Recent Applications of Artificial Intelligence in the Detection of Gastrointestinal, Hepatic and Pancreatic Diseases
  25. Crosstalk between epigenetics and mTOR as a gateway to new insights in pathophysiology and treatment of Alzheimer's disease
  26. OlfactionBase: a repository to explore odors, odorants, olfactory receptors and odorant–receptor interactions
  27. Deep Learning in Disease Diagnosis: Models and Datasets
  28. OBPred: feature-fusion-based deep neural network classifier for odorant-binding protein prediction
  29. Recent trends in stem cell-based therapies and applications of artificial intelligence in regenerative medicine
  30. Multi-Omics Approach in the Identification of Potential Therapeutic Biomolecule for COVID-19
  31. A deep neural network–based approach for prediction of mutagenicity of compounds
  32. Development of Machine Learning based blood-brain barrier permeability prediction models using physicochemical properties, MACCS and substructure fingerprints
  33. Hydroxychloroquine in COVID-19: therapeutic promises, current status, and environmental implications
  34. SMILES to Smell: Decoding the Structure–Odor Relationship of Chemical Compounds Using the Deep Neural Network Approach
  35. Dissecting Sex‐Related Cognition between Alzheimer’s Disease and Diabetes: From Molecular Mechanisms to Potential Therapeutic Strategies
  36. Available Compounds With Therapeutic Potential Against COVID-19: Antimicrobial Therapies, Supportive Care, and Probable Vaccines
  37. Therapeutic Promises of Chlorogenic Acid with Special Emphasis on its Anti-Obesity Property
  38. Blood Brain Barrier Permeability Prediction Using Machine Learning Techniques: An Update
  39. Sense of Smell: Structural, Functional, Mechanistic Advancements and Challenges in Human Olfactory Research
  40. Computational Outlook of Marine Compounds as Anti-Cancer Representatives Targeting BCL-2 and Survivin
  41. Prediction of Elimination of Compounds Using Artificial Intelligence Techniques
  42. Prediction of Drug-Plasma Protein Binding Using Artificial Intelligence Based Algorithms
  43. Promises of Machine Learning Approaches in Prediction of Absorption of Compounds
  44. Prediction of Human Intestinal Absorption of Compounds Using Artificial Intelligence Techniques
  45. Prediction of Metabolism of Drugs using Artificial Intelligence: How far have we reached?
  46. Can we predict blood brain barrier permeability of ligands using computational approaches?
  47. Prospects of Nano–Material in Breast Cancer Management
  48. Advanced stage of breast cancer hoist alkaline phosphatase activity: risk factor for females in India
  49. Brain Region Specific Monoamine and Oxidative Changes During Restraint Stress
  50. Novel Ocimumoside A and B as anti-stress agents: Modulation of brain monoamines and antioxidant systems in chronic unpredictable stress model in rats
  51. Application of microarray in breast cancer: An overview
  52. A comparative study of support vector machine, artificial neural network and Bayesian classifier for mutagenicity prediction
  53. Purification, Characterization, Sequencing and Biological Chemistry of Galectin-1 Purified from Capra hircus (goat) Heart
  54. A prediction model for oral bioavailability of drugs using physicochemical properties by support vector machine
  55. Stem cells: An overview with respect to cardiovascular and renal disease