DINLER ANTUNES to Databases, Protein
This is a "connection" page, showing publications DINLER ANTUNES has written about Databases, Protein.
Connection Strength
0.430
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Antunes DA, Devaurs D, Moll M, Liz?e G, Kavraki LE. General Prediction of Peptide-MHC Binding Modes Using Incremental Docking: A Proof of Concept. Sci Rep. 2018 03 12; 8(1):4327.
Score: 0.140
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Sinigaglia M, Antunes DA, Rigo MM, Chies JA, Vieira GF. CrossTope: a curate repository of 3D structures of immunogenic peptide: MHC complexes. Database (Oxford). 2013; 2013:bat002.
Score: 0.099
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Antunes DA, Vieira GF, Rigo MM, Cibulski SP, Sinigaglia M, Chies JA. Structural allele-specific patterns adopted by epitopes in the MHC-I cleft and reconstruction of MHC:peptide complexes to cross-reactivity assessment. PLoS One. 2010 Apr 26; 5(4):e10353.
Score: 0.081
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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: 0.041
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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: 0.039
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Rigo MM, Antunes DA, Vaz de Freitas M, Fabiano de Almeida Mendes M, Meira L, Sinigaglia M, Vieira GF. DockTope: a Web-based tool for automated pMHC-I modelling. Sci Rep. 2015 Dec 17; 5:18413.
Score: 0.030