All Stories

  1. Preclinical validation of tetrahydroquinoline derivatives as EGFR inhibitor inducing glioblastoma cell death
  2. Molecular Insights into Leech-Derived Bioactive Compounds: Biochemical Mechanisms and Therapeutic Potential
  3. Examining sleep signals at the cradle of life: can phylogenomic analysis of the Last Universal Common Ancestor (LUCA) reveal the fundamental role of sleep?
  4. Polycystic ovary syndrome and the circadian clock: Understanding the link between metabolism, hormones, and sleep
  5. GPR17 in Glioblastoma: Structure, Ligand Interactions, and Therapeutic Targeting
  6. Virtual screening and molecular dynamics reveal the potential biochemical impacts of microplastics on human protein targets
  7. Comparative analysis of the antiglioblastoma activity of adenosine A2A receptor and CK1δ blockers
  8. Sensing Cyclic Adenosine Monophosphate and Guanine Nucleotide Exchange Factor Communication Through Rluc-Epac-Citrine2 BRET Sensor in Live GBM Cells
  9. Identification of Leukemia Enzyme Inhibitors by Molecular Modeling and Machine Learning Approaches
  10. Integrative Analysis of an Ayurvedic Polyherbal Decoction: From Phytochemistry to Pharmacological Efficacy
  11. Evaluation of synergistic effect of Zerumbone with Cisplatin on anti-angiogenic potential in zebrafish model
  12. What Function Does Sleep Serve? Inferring the Basic Elements of Sleep Using Comparative Genomics and Phylogenomics
  13. Blood group genetics with special reference to the tribe’s health of Nagaland
  14. Polyherbal Formulation as a Therapeutic Strategy for Lung Cancer: Phytochemical Profiling, Molecular Docking, and Pharmacological Evaluation
  15. Studying sleep orthologs in Epsilonproteobacteria through an evolutionary lens: investigating sleep mysteries through phylogenomics
  16. Impact of Soil Microbiomes on Mung Bean Cultivation: Insights from 16S rRNA Metagenomics
  17. A2A receptor antagonist 4-(2-((6-Amino-9-ethyl-8-(furan-2-yl)-9H-purin-2-yl)amino)ethyl)phenol, a promising adenosine derivative for glioblastoma treatment
  18. Clock-Sleep Communication
  19. Cross‐Kingdom Genomic Conservation of Putative Human Sleep‐Related Genes: Phylogenomic Evidence From Chlamydomonas reinhardtii
  20. Examining Sleep Signals at the Cradle of Life: Can phylogenomic analysis of the Last Universal Common Ancestor (LUCA) reveal the fundamental role of sleep?
  21. Integrating Deep Learning and Molecular Dynamics to Identify GPR17 Ligands for Glioblastoma Therapy
  22. Therapeutic Potential of FTO Demethylase in Metabolism and Disease Pathways
  23. Artificial intelligence and computer-aided drug discovery: Methods development and application
  24. Studying sleep orthologs in Epsilonproteobacteria through an evolutionary lens: Investigating sleep mysteries through phylogenomics
  25. Cathepsins as an important pharmacological target for multiple cancer types
  26. Graph Neural Network Approaches for Identifying Calpain-10 Inhibitors in Neurological Disorder Therapy
  27. MicroRNA-mediated regulation of BCL-2 in breast cancer
  28. Role of proteases and cytokines in cancer growth
  29. Unraveling the Mysteries of Sleep: Exploring Phylogenomic Sleep Signals in the Recently Characterized Archaeal Phylum Lokiarchaeota near Loki’s Castle
  30. Apoptotic and Molecular Mechanisms of Carthamidin in Breast Cancer Therapy: An Integrated In Vitro and In Silico Study
  31. Harnessing Simple Animal Models to Decode Sleep Mysteries
  32. Cross-Kingdom Genomic Conservation of Human Sleep-Related Gene Orthologs: Phylogenomic Evidence fromChlamydomonas reinhardtii
  33. Unraveling the Mysteries of Sleep: Exploring Phylogenomic Sleep Signals in the Recently Characterized Archaeal Phylum Lokiarchaeota near Loki’s Castle
  34. Artificial intelligence and computer-aided drug discovery: Methods development and application
  35. Development of a recombinant construct as an immunogenic target for leptospirosis using LipL41 and molecular adjuvants
  36. Advances in Deep Learning Assisted Drug Discovery Methods: A Self-review
  37. Bibliometric analysis of artificial intelligence in healthcare research: Trends and future directions
  38. Correction to: Revolutionizing GPCR–ligand predictions: DeepGPCR with experimental validation for high-precision drug discovery
  39. Enhancing oral cancer research with natural language processing: From insights to innovations
  40. Eye Posterior Segment Drug Delivery and Nanomicelles as a Drug Delivery System for Age-Related Macular Degeneration
  41. A deep learning based multi-model approach for predicting drug-like chemical compound’s toxicity
  42. Transforming oral cancer care: The promise of deep learning in diagnosis
  43. Revolutionizing GPCR–ligand predictions: DeepGPCR with experimental validation for high-precision drug discovery
  44. Importance of Inter-residue Contacts for Understanding Protein Folding and Unfolding Rates, Remote Homology, and Drug Design
  45. Revolutionizing GPCR-Ligand Predictions: DeepGPCR with experimental Validation for High-Precision Drug Discovery
  46. Characterization of Novel Antimicrobial Peptides from the Epidermis of Clarias batrachus Catfish
  47. Identifying Potent Fat Mass and Obesity-Associated Protein Inhibitors Using Deep Learning-Based Hybrid Procedures
  48. Waking Up the Sleep Field: An Overview on the Implications of Genetics and Bioinformatics of Sleep
  49. Hexadecanoic acid analogs as potential CviR-mediated quorum sensing inhibitors in Chromobacterium violaceum : an in silico study
  50. Neurogranin in Alzheimer's Disease: Roles in synaptic function, pathology, and potential as a diagnostic biomarker
  51. Design, synthesis and anticancer evaluation of novel arylhydrazones of active methylene compounds
  52. Harbingers of hope: Scientists and the pursuit of world peace
  53. Israel−Palestine Conflict: Risk of Sleep Disorders and Post-Traumatic Stress Disorders
  54. Bacterial nanocellulose: A novel nanostructured bio-adsorbent for green remediation technology
  55. Carbon nanoparticles fabricated microfilm: A potent filter for microplastics debased water
  56. A novel EGFR inhibitor, HNPMI, regulates apoptosis and oncogenesis by modulating BCL‐2/BAX and p53 in colon cancer
  57. Benzenesulfonamide Analogs: Synthesis, Anti-GBM Activity and Pharmacoprofiling
  58. DeepBindGCN: Integrating Molecular Vector Representation with Graph Convolutional Neural Networks for Protein–Ligand Interaction Prediction
  59. Advancement of Targeted Protein Degradation Strategies As Therapeutics for Undruggable Disease Targets
  60. DeepBindGCN: Integrating Molecular Vector Representation with Graph Convolutional Neural Networks for Accurate Protein-Ligand Interaction Prediction
  61. Phytoconstituent screening and in vitro hypoglycemic and antioxidant properties of terpenoid fraction of Kaempferia pulchra extracts in Indian traditional medicine
  62. Drug Design and Disease Diagnosis: The Potential of Deep Learning Models in Biology
  63. Structural analysis of human G‐protein‐coupled receptor 17 ligand binding sites
  64. Methanodibenzo[b,f][1,5]dioxocins as Novel Glutaminase Inhibitor with Anti-Glioblastoma Potential
  65. Deep Learning-Based Bioactive Therapeutic Peptide Generation and Screening
  66. Deep-learning based bioactive peptides generation and screening against Xanthine oxidase
  67. Signaling landscape of mitochondrial non-coding RNAs
  68. Investigation of therapeutic and immunomodulatory activity of Bacopa saponin from Bacopa monnieri
  69. Deep-learning based bioactive therapeutic peptides generation and screening
  70. COVID-19 and Tuberculosis: Two Knives in a Sheath
  71. Photocatalytic Degradation of Textile Dye Using Green Synthesized Nanoparticles
  72. Immunomodulatory and Apoptotic Effect of Cinnamaldehyde in HepG2 Cells
  73. DeepBindBC: A practical deep learning method for identifying native-like protein-ligand complexes in virtual screening
  74. An Efficient Modern Strategy to Screen Drug Candidates Targeting RdRp of SARS-CoV-2 With Potentially High Selectivity and Specificity
  75. Generating and screeningde novocompounds against given targets using ultrafast deep learning models as core components
  76. A Review on the Potential Species of the Zingiberaceae Family with Anti-viral Efficacy Towards Enveloped Viruses
  77. Hybrid drug-screening strategy identifies potential SARS-CoV-2 cell-entry inhibitors targeting human transmembrane serine protease
  78. Identification of oxazolo[4,5-g]quinazolin-2(1H)-one Derivatives as EGFR Inhibitors for Cancer Prevention
  79. E3 Ligases: a Potential Multi-Drug Target for Different Types of Cancers and Neurological Disorders
  80. Instrumentals behind embryo and cancer: a platform for prospective future in cancer research
  81. Evaluation of anti-cancer effect of zerumbone and cisplatin on N -nitrosodiethylamine induced hepatic cancer in freshwater fish ( Danio rerio )
  82. A novel virtual drug screening pipeline with deep-leaning as core component identifies inhibitor of pancreatic alpha-amylase
  83. An Integrated Deep Learning and Molecular Dynamics Simulation-Based Screening Pipeline Identifies Inhibitors of a New Cancer Drug Target TIPE2
  84. CRISPR/Cas-Based Modifications for Therapeutic Applications: A Review
  85. Molecular interaction of HIC, an agonist of P2Y1 receptor, and its role in prostate cancer apoptosis
  86. Molecular modeling and dynamics studies of the synthetic small molecule agonists with GPR17 and P2Y1 receptor
  87. Targeting Orphan G Protein-Coupled Receptor 17 with T0 Ligand Impairs Glioblastoma Growth
  88. Synthesis and Preclinical Validation of Novel Indole Derivatives as a GPR17 Agonist for Glioblastoma Treatment
  89. Evaluation of residue-residue contact prediction methods: From retrospective to prospective
  90. Identifying the miRNA Signature Association with Aging-Related Senescence in Glioblastoma
  91. Deep Learning-Based Drug Screening for COVID-19 and Case Studies
  92. A novel virtual screening procedure identifies Pralatrexate as inhibitor of SARS-CoV-2 RdRp and it reduces viral replication in vitro
  93. Identifying Native and Non-native Membrane Protein Loops by Using Stabilizing Energetic Terms of Three Popular Force Fields
  94. Erratum: Viswanathan, A., et al. Battling Glioblastoma: A Novel Tyrosine Kinase Inhibitor with Multi-Dimensional Anti-Tumor Effect (Running Title: Cancer Cells Death Signalling Activation). Cells 2019, 8, 1624
  95. Transcriptomic analysis of glioblastoma multiforme providing new insights into GPR17 signaling communication
  96. Structural basis for the inhibition of SARS-CoV2 main protease by Indian medicinal plant-derived antiviral compounds
  97. FDA-approved Pralatrexate identified by virtual drug screening inhibits SARS-CoV-2 replication in vitro
  98. On the Conformational Dynamics of β-Amyloid Forming Peptides: A Computational Perspective
  99. Deep Learning Based Drug Screening for Novel Coronavirus 2019-nCov
  100. DeepBindPoc: a deep learning method to rank ligand binding pockets using molecular vector representation
  101. A novel machine learning based approach for iPS progenitor cell identification
  102. Battling Glioblastoma: A Novel Tyrosine Kinase Inhibitor with Multi-Dimensional Anti-Tumor Effect
  103. Synthesis and preclinical validation of novel P2Y1 receptor ligands as a potent anti-prostate cancer agent
  104. A novel machine learning based approach for iPS progenitor cell identification
  105. DeepBindRG: a deep learning based method for estimating effective protein–ligand affinity
  106. 2-(2-(2,4-dioxopentan-3-ylidene)hydrazineyl)benzonitrile as novel inhibitor of receptor tyrosine kinase and PI3K/AKT/mTOR signaling pathway in glioblastoma
  107. Systematic analysis of NO Regular Secondary structural regions (NORS) in membrane and non-membrane proteins
  108. Efficient Gene Assembly and Identification for Many Genome Samples
  109. Sequence and structural analysis of fibronectin-binding protein reveals importance of multiple intrinsic disordered tandem repeats
  110. Decane-1,2-diol derivatives as potential antitumor agents for the treatment of glioblastoma
  111. Identification of novel GPR17-agonists by structural bioinformatics and signaling activation
  112. Sequence fingerprints distinguish erroneous from correct predictions of intrinsically disordered protein regions
  113. Sequence fingerprints distinguish erroneous from correct predictions of Intrinsically Disordered Protein Regions
  114. Dihedral angle preferences of amino acid residues forming various non-local interactions in proteins
  115. Dihedral angle preferences of DNA and RNA binding amino acid residues in proteins
  116. Pairwise contact energy statistical potentials can help to find probability of point mutations
  117. Computational profiling of pore properties of outer membrane proteins
  118. PreFRP: Prediction and visualization of fluctuation residues in proteins
  119. Comparative Analysis of the Molecular Adjuvants and Their Binding Efficiency with CR1
  120. Analysis of secondary structural and physicochemical changes in protein–protein complexes
  121. Comparative analysis of the molecular adjuvants and their binding efficiency with CR1
  122. Better theoretical models and protein design experiments can help to understand protein folding
  123. Sequence Analysis of Holins by Reduced Amino Acid Alphabet Model and Permutation Approaches
  124. Conservation of inter-residue interactions and prediction of folding rates of domain repeats
  125. Analysis of dihedral angle preferences for alanine and glycine residues in alpha and beta transmembrane regions
  126. Search and Analysis of Identical Reverse Octapeptides in Unrelated Proteins
  127. Performance of secondary structure prediction methods on proteins containing structurally ambivalent sequence fragments
  128. Search for identical octapeptides in unrelated proteins: Structural plasticity revisited
  129. Sequence and structural analysis of two designed proteins with 88% identity adopting different folds
  130. Analysis and Visualization of Long-Range Contacts and Networks in Homologous Families of Proteins
  131. Expedience of Protein Folding Modeling during Progressive Elongation of Polypeptide Chain