DINLER ANTUNES to Peptides
This is a "connection" page, showing publications DINLER ANTUNES has written about Peptides.
Connection Strength
3.456
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Antunes DA, Abella JR, Hall-Swan S, Devaurs D, Conev A, Moll M, Liz?e G, Kavraki LE. HLA-Arena: A Customizable Environment for the Structural Modeling and Analysis of Peptide-HLA Complexes for Cancer Immunotherapy. JCO Clin Cancer Inform. 2020 07; 4:623-636.
Score: 0.531
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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: 0.453
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Antunes DA, Abella JR, Devaurs D, Rigo MM, Kavraki LE. Structure-based Methods for Binding Mode and Binding Affinity Prediction for Peptide-MHC Complexes. Curr Top Med Chem. 2018; 18(26):2239-2255.
Score: 0.447
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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: 0.442
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Alves CC, Lewis J, Antunes DA, Donadi EA. The Role of Vimentin Peptide Citrullination in the Structure and Dynamics of HLA-DRB1 Rheumatoid Arthritis Risk-Associated Alleles. Int J Mol Sci. 2024 Dec 24; 26(1).
Score: 0.181
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Fasoulis R, Rigo MM, Liz?e G, Antunes DA, Kavraki LE. APE-Gen2.0: Expanding Rapid Class I Peptide-Major Histocompatibility Complex Modeling to Post-Translational Modifications and Noncanonical Peptide Geometries. J Chem Inf Model. 2024 03 11; 64(5):1730-1750.
Score: 0.171
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Fonseca AF, Antunes DA. CrossDome: an interactive R package to predict cross-reactivity risk using immunopeptidomics databases. Front Immunol. 2023; 14:1142573.
Score: 0.163
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Hall-Swan S, Slone J, Rigo MM, Antunes DA, Liz?e G, Kavraki LE. PepSim: T-cell cross-reactivity prediction via comparison of peptide sequence and peptide-HLA structure. Front Immunol. 2023; 14:1108303.
Score: 0.161
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Conev A, Devaurs D, Rigo MM, Antunes DA, Kavraki LE. 3pHLA-score improves structure-based peptide-HLA binding affinity prediction. Sci Rep. 2022 06 24; 12(1):10749.
Score: 0.152
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Abella JR, Antunes D, Jackson K, Liz?e G, Clementi C, Kavraki LE. Markov state modeling reveals alternative unbinding pathways for peptide-MHC complexes. Proc Natl Acad Sci U S A. 2020 12 01; 117(48):30610-30618.
Score: 0.136
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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: 0.133
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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: 0.121
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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: 0.097
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Antunes DA, Devaurs D, Kavraki LE. Understanding the challenges of protein flexibility in drug design. Expert Opin Drug Discov. 2015 Dec; 10(12):1301-13.
Score: 0.095
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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: 0.080
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Rigo MM, Fasoulis R, Conev A, Hall-Swan S, Antunes DA, Kavraki LE. SARS-Arena: Sequence and Structure-Guided Selection of Conserved Peptides from SARS-related Coronaviruses for Novel Vaccine Development. Front Immunol. 2022; 13:931155.
Score: 0.038
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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: 0.031
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Mendes MF, Antunes DA, Rigo MM, Sinigaglia M, Vieira GF. Improved structural method for T-cell cross-reactivity prediction. Mol Immunol. 2015 Oct; 67(2 Pt B):303-10.
Score: 0.023