All Stories

  1. Enzyme classification integrating LSTM and Prot-BERT sequence encoding
  2. Current progress in research on ocular injury caused by exposure to vesicants
  3. Single-Cell Transcriptomics Shows Cellular Heterogeneity, Intercellular Communication, and Extracellular Matrix Remodeling in Corneal Fibrosis In Vivo
  4. Carbofuran Exposure Alters Autophagy Flux in Human Cornea In Vitro and Ex Vivo
  5. Open-Field Blast Injury Disrupts Corneal Gene Expression Linked to Ion Transport, Sensory Perception, and Neural Signaling
  6. Artificial intelligence derived grading of mustard gas induced corneal injury and opacity
  7. Mustard Gas Induced Corneal Injury Involves Ferroptosis and p38 MAPK Signaling
  8. Identification of Potential Necroptosis Inhibitors using Pharmacophore Model: An In-silico Approach
  9. Transcriptomic landscape of quiescent and proliferating human corneal stromal fibroblasts
  10. RNA-Seq Analysis Unraveling Novel Genes and Pathways Influencing Corneal Wound Healing
  11. Tissue-targeted and localized AAV5-DCN and AAV5-PEDF combination gene therapy abrogates corneal fibrosis and concurrent neovascularization in rabbit eyes in vivo
  12. Corneal Scarring
  13. Gene Therapy for Cornea, Conjunctiva, and Lacrimal Gland
  14. Differential gene expression and protein-protein interaction network profiling of sulfur mustard-exposed rabbit corneas employing RNA-seq data and bioinformatics tools
  15. Deep learning-based prediction model for diagnosing gastrointestinal diseases using endoscopy images
  16. Pathophysiology, Current Therapeutic Options, Vaccine Candidates, and Drug Targets for Human Brucellosis
  17. Computational analysis of spike protein of SARS-CoV-2 (Omicron variant) for development of peptide-based therapeutics and diagnostics
  18. Corneal gene therapy: Structural and mechanistic understanding
  19. Artificial intelligence in intestinal polyp and colorectal cancer prediction
  20. Investigating molecular features that influence blood − brain barrier permeability of compounds
  21. Neuronal Vulnerability to Degeneration in Parkinson’s Disease and Therapeutic Approaches
  22. Unlocking the microbial studies through computational approaches: how far have we reached?
  23. Smelling the Disease: Diagnostic Potential of Breath Analysis
  24. Ligand-based Pharmacophore Modeling, Molecular Docking and Simulation Studies for the Exploration of Natural Potent Antiangiogenic Inhibitors Targeting Heat Shock Protein 90
  25. Artificial Intelligence in De novo Drug Design: Are We Still There?
  26. Developing human olfactory network and exploring olfactory receptor-odorant interaction
  27. Recent Applications of Artificial Intelligence in Early Cancer Detection
  28. Decoding seven basic odors by investigating pharmacophores and molecular features of odorants
  29. DeePred-BBB: A Blood Brain Barrier Permeability Prediction Model With Improved Accuracy
  30. Epigenetic Modifications by Estrogen and Androgen in Alzheimer’s Disease
  31. Screening of potential antigens from whole proteome and development of multi-epitope vaccine against Rhizopus delemar using immunoinformatics approaches
  32. DeepOlf: Deep Neural Network Based Architecture for Predicting Odorants and Their Interacting Olfactory Receptors
  33. Recent Applications of Artificial Intelligence in the Detection of Gastrointestinal, Hepatic and Pancreatic Diseases
  34. Crosstalk between epigenetics and mTOR as a gateway to new insights in pathophysiology and treatment of Alzheimer's disease
  35. OlfactionBase: a repository to explore odors, odorants, olfactory receptors and odorant–receptor interactions
  36. Deep Learning in Disease Diagnosis: Models and Datasets
  37. OBPred: feature-fusion-based deep neural network classifier for odorant-binding protein prediction
  38. Recent trends in stem cell-based therapies and applications of artificial intelligence in regenerative medicine
  39. Multi-Omics Approach in the Identification of Potential Therapeutic Biomolecule for COVID-19
  40. A deep neural network–based approach for prediction of mutagenicity of compounds
  41. Development of Machine Learning based blood-brain barrier permeability prediction models using physicochemical properties, MACCS and substructure fingerprints
  42. Hydroxychloroquine in COVID-19: therapeutic promises, current status, and environmental implications
  43. SMILES to Smell: Decoding the Structure–Odor Relationship of Chemical Compounds Using the Deep Neural Network Approach
  44. Dissecting Sex‐Related Cognition between Alzheimer’s Disease and Diabetes: From Molecular Mechanisms to Potential Therapeutic Strategies
  45. Available Compounds With Therapeutic Potential Against COVID-19: Antimicrobial Therapies, Supportive Care, and Probable Vaccines
  46. Therapeutic Promises of Chlorogenic Acid with Special Emphasis on its Anti-Obesity Property
  47. Blood Brain Barrier Permeability Prediction Using Machine Learning Techniques: An Update
  48. Sense of Smell: Structural, Functional, Mechanistic Advancements and Challenges in Human Olfactory Research
  49. Computational Outlook of Marine Compounds as Anti-Cancer Representatives Targeting BCL-2 and Survivin
  50. Prediction of Elimination of Compounds Using Artificial Intelligence Techniques
  51. Prediction of Drug-Plasma Protein Binding Using Artificial Intelligence Based Algorithms
  52. Promises of Machine Learning Approaches in Prediction of Absorption of Compounds
  53. Prediction of Human Intestinal Absorption of Compounds Using Artificial Intelligence Techniques
  54. Prediction of Metabolism of Drugs using Artificial Intelligence: How far have we reached?
  55. Can we predict blood brain barrier permeability of ligands using computational approaches?
  56. Prospects of Nano–Material in Breast Cancer Management
  57. Advanced stage of breast cancer hoist alkaline phosphatase activity: risk factor for females in India
  58. Brain Region Specific Monoamine and Oxidative Changes During Restraint Stress
  59. Novel Ocimumoside A and B as anti-stress agents: Modulation of brain monoamines and antioxidant systems in chronic unpredictable stress model in rats
  60. Application of microarray in breast cancer: An overview
  61. A comparative study of support vector machine, artificial neural network and Bayesian classifier for mutagenicity prediction
  62. Purification, Characterization, Sequencing and Biological Chemistry of Galectin-1 Purified from Capra hircus (goat) Heart
  63. A prediction model for oral bioavailability of drugs using physicochemical properties by support vector machine
  64. Stem cells: An overview with respect to cardiovascular and renal disease