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Molecular Dynamics Inc dynamics-based pocket generation approach
Dynamics Based Pocket Generation Approach, supplied by Molecular Dynamics Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/dynamics-based+pocket+generation+approach/dynamics+based+pocket+generation+approach/pm38085669-431-12-10
Average 90 stars, based on 1 article reviews
dynamics-based pocket generation approach - by Bioz Stars, 2026-10
90/100 stars

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Article Title: Issue Information
Article Snippet: Improving the Accuracy of Protein-Ligand Binding Mode Prediction Using a Molecular Dynamics-Based Pocket Generation Approach Mitsugu Araki, Hiroaki Iwata, Biao Ma, Atsuto Fujita, Kei Terayama, Yukari Sagae, Fumie Ono, Koji Tsuda, Narutoshi Kamiya, and Yasushi Okuno . . . . . . . . . . . . . . 2679 Published online 30 November 2018 In the drug discovery process, structural information about the binding mode of drug candidates toward their target protein is useful for optimizing the chemical structure of promising lead compounds.

Article Title: At least three xenon binding sites in the glycine binding domain of the N-methyl D-aspartate receptor.
Article Snippet: [22] M. Araki, H. Iwata, B. Ma, A. Fujita, K. Terayama, Y. Sagae, F. Ono, K. Tsuda, N. Kamiya, Y. Okuno, Improving the accuracy of protein-ligand binding mode prediction using a molecular dynamics-based pocket generation approach, J. Comput.

Binding Assay:

Article Title: AAp-MSMD: Amino Acid Preference Mapping on Protein-Protein Interaction Surfaces Using Mixed-Solvent Molecular Dynamics.
Article Snippet: Model. 2017, 57, 742−756. (30) Araki, M.; Iwata, H.; Ma, B.; Fujita, A.; Terayama, K.; Sage, Y.; Ono, F.; Tsuda, K.; Kamiya, N.; Okuno, Y. .. Improving the Accuracy of Protein-Ligand Binding Mode Prediction Using a Molecular Dynamics-Based Pocket Generation Approach. ..

Article Title: Higher Accuracy Achieved for Protein-Ligand Binding Pose Prediction by Elastic Network Model-Based Ensemble Docking.
Article Snippet: Molecular docking plays an indispensable role in predicting the receptorligand interactions in which the protein receptor is usually kept rigid while the ligand is treated as being flexible.. Due to the inherent flexibility of proteins, the binding pocket of apo receptors might undergo significant conformational rearrangement upon ligand binding, which limits the prediction accuracy of docking.. Here, we present an iterative Anisotropic Network Model (iterANM)-based ensemble docking approach which generates multiple holo-like receptor structures starting from the apo receptor and incorporates protein flexibility into docking.



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Molecular Dynamics Inc dynamics-based pocket generation approach
Dynamics Based Pocket Generation Approach, supplied by Molecular Dynamics Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/dynamics-based+pocket+generation+approach/dynamics+based+pocket+generation+approach/pm38085669-431-12-10
Average 90 stars, based on 1 article reviews
dynamics-based pocket generation approach - by Bioz Stars, 2026-10
90/100 stars
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