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Journal of Chemical Information and Modeling|July 14, 2023
Predictions from First-Principles of Membrane Permeability to Small Molecules: How Useful Are They in Practice?Christophe Chipot
Journal of Chemical Information and Modeling|July 7, 2023
Molecular Design of Highly Efficient Heavy-Atom-free NpImidazole Derivatives for Two-Photon Photodynamic Therapy and ClO- DetectionWei-Bo Cui, Xue Wei, Jing-Fu Guo, et al.
Journal of Chemical Information and Modeling|July 7, 2023
Molecular Dynamics and Machine Learning Study of Adrenaline Dynamics in the Binding Pocket of GPCRKeshavan Seshadri, Marimuthu Krishnan
Journal of Chemical Information and Modeling|July 6, 2023
Solvent Accessibility Promotes Rotamer Errors during Protein Modeling with Major Side-Chain Prediction ProgramsTareq Hameduh, Michal Mokry, Andrew D Miller, et al.
Journal of Chemical Information and Modeling|July 5, 2023
Data Sharing in Chemistry: Lessons Learned and a Case for Mandating Structured Reaction DataRocío Mercado, Steven M Kearnes, Connor W Coley
Journal of Chemical Information and Modeling|July 12, 2023
PyInteraph2 and PyInKnife2 to Analyze Networks in Protein Structural EnsemblesValentina Sora, Matteo Tiberti, Ludovica Beltrame, et al.
Journal of Chemical Information and Modeling|July 11, 2023
Water Network-Augmented Two-State Model for Protein-Ligand Binding Affinity PredictionXiaoyang Qu, Lina Dong, Ding Luo, et al.
Journal of Chemical Information and Modeling|July 11, 2023
HydraMap v.2: Prediction of Hydration Sites and Desolvation Energy with Refined Statistical PotentialsYan Li, Zhe Zhang, Renxiao Wang
Journal of Chemical Information and Modeling|June 27, 2023
Transformer-Based Molecular Generative Model for Antiviral Drug DesignJiashun Mao, Jianmin Wang, Amir Zeb, et al.
Journal of Chemical Information and Modeling|July 27, 2023
iPADD: A Computational Tool for Predicting Potential Antidiabetic Drugs Using Machine Learning AlgorithmsXiao-Wei Liu, Tian-Yu Shi, Dong Gao, et al.
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