All Stories

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