DINLER ANTUNES to Protein Conformation
This is a "connection" page, showing publications DINLER ANTUNES has written about Protein Conformation.
Connection Strength
0.427
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Abella JR, Antunes DA, Clementi C, Kavraki LE. Large-Scale Structure-Based Prediction of Stable Peptide Binding to Class I HLAs Using Random Forests. Front Immunol. 2020; 11:1583.
Score: 0.151
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Antunes DA, Moll M, Devaurs D, Jackson KR, Liz?e G, Kavraki LE. DINC 2.0: A New Protein-Peptide Docking Webserver Using an Incremental Approach. Cancer Res. 2017 11 01; 77(21):e55-e57.
Score: 0.125
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Conev A, Rigo MM, Devaurs D, Fonseca AF, Kalavadwala H, de Freitas MV, Clementi C, Zanatta G, Antunes DA, Kavraki LE. EnGens: a computational framework for generation and analysis of representative protein conformational ensembles. Brief Bioinform. 2023 07 20; 24(4).
Score: 0.047
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Devaurs D, Antunes DA, Hall-Swan S, Mitchell N, Moll M, Liz?e G, Kavraki LE. Using parallelized incremental meta-docking can solve the conformational sampling issue when docking large ligands to proteins. BMC Mol Cell Biol. 2019 09 05; 20(1):42.
Score: 0.036
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Abella JR, Antunes DA, Clementi C, Kavraki LE. APE-Gen: A Fast Method for Generating Ensembles of Bound Peptide-MHC Conformations. Molecules. 2019 Mar 02; 24(5).
Score: 0.034
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Devaurs D, Antunes DA, Kavraki LE. Revealing Unknown Protein Structures Using Computational Conformational Sampling Guided by Experimental Hydrogen-Exchange Data. Int J Mol Sci. 2018 Oct 31; 19(11).
Score: 0.034