Screening Of Potential Drug Candidates - Toxicology

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Comprehensive approach to in silico identification and in vitro validation of anti-filarial hit molecules targeting the dimer interface of thioredoxin peroxidase 1 in Wuchereria bancrofti: a progress in anti-filariasis drug development.

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Drug repurposing for respiratory infections.

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Application of Generative Artificial Intelligence in Predicting Membrane Partitioning of Drugs: Combining Denoising Diffusion Probabilistic Models and MD Simulations Reduces the Computational Cost to One-Third.

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Efficacy of rifapentine and other rifamycins against .

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Donor screening for fecal microbiota transplantation with a direct stool testing-based strategy: a prospective cohort study.

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In-silico screening and identification of glycomimetic as potential human sodium-glucose co-transporter 2 inhibitor.

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Identification of therapeutic drug target of Shigella Flexneri serotype X through subtractive genomic approach and in-silico screening based on drug repurposing.

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Eco-Technological Evaluation of Natural Phytochemicals Potential Drug Molecules Against Main Protease: A Machine Learning Algorithm.

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Streamlining Computational Fragment-Based Drug Discovery through Evolutionary Optimization Informed by Ligand-Based Virtual Prescreening.

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Vibrational spectroscopy coupled with machine learning sheds light on the cellular effects induced by rationally designed TLR4 agonists.

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Exposure-response relationship of guselkumab and the potential of serum proteomics in identifying predictive biomarker candidates in psoriasis.

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Small-Molecule Inhibitors of TIPE3 Protein Identified through Deep Learning Suppress Cancer Cell Growth In Vitro.

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A deep learning based multi-model approach for predicting drug-like chemical compound\'s toxicity.

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Modeling the Blood-Brain Barrier Permeability of Potential Heterocyclic Drugs via Biomimetic IAM Chromatography Technique Combined with QSAR Methodology.

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Synthesis and Anti-gastric Cancer Activity by Targeting FGFR1 Pathway of Novel Asymmetric Bis-chalcone Compounds.

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Revolutionising Neurological Therapeutics: Investigating Drug Repurposing Strategies.

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ProT-Diff: A Modularized and Efficient Strategy for De Novo Generation of Antimicrobial Peptide Sequences by Integrating Protein Language and Diffusion Models.

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Synthesis, molecular modelling, and biological evaluation of novel quinoxaline derivatives for treating type II diabetes.

Issue Release: 2024

Large language model aided automatic high-throughput drug screening using self-controlled cohort study.

Issue Release: 2024

Unveiling the potential of phytochemicals to inhibit nuclear receptor binding SET domain protein 2 for cancer: Pharmacophore screening, molecular docking, ADME properties, and molecular dynamics simulation investigations.

Issue Release: 2024

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Screening Of Potential Drug Candidates - Toxicology

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