Identification of potential inhibitors of 3‑Mercaptopyruvate Sulfurtransferase with a deep-learning based screening of natural products
Integrating Evolutionary and Compositional Features with ML and DL for Robust and Interpretable Druggable Protein Prediction
Theoretical Insights into the Optoelectronic and Charge-Transfer Characteristics of 5-(1H- 1,2,4-triazol-1-yl)-2-thiophenecarboxylic Acid
ProVenTL: A Transfer-Learning Framework for Predicting Peptide–Protein Interactions Derived from Snake Venom for Cancer Therapeutics
Interpretable Machine Learning-Driven QSAR Modeling for Coagulation Factor X Inhibitors: From Molecular Descriptors to Predictive Potency
Unveiling Druggable Segments in Klebsiella pneumoniae KPHS_11890: An Integrated DRKG- MD Study
Computational Prioritization of Multi-Target Inhibitors: Explainable QSAR and Docking- Based Discovery of Dual AChE/BACE1 Chemotypes
Reinforcement Learning-Based Generation of EGFR-Targeted Anticancer Small Molecules
Design, Synthesis, and In Silico-Guided Evaluation of Novel S-Alkylated Thiohydantoins as Potent Anticancer Agents
Synthesis of 4,6-Diphenyl-3-cyanopyridine Derivatives Based on 3D-QSAR: Unveiling Their Potential as Survivin Protein Inhibitors
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