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Connection

DINLER ANTUNES to Binding Sites

This is a "connection" page, showing publications DINLER ANTUNES has written about Binding Sites.
Connection Strength

0.415
  1. 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.
    View in: PubMed
    Score: 0.122
  2. 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.
    View in: PubMed
    Score: 0.120
  3. 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.
    View in: PubMed
    Score: 0.104
  4. 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.
    View in: PubMed
    Score: 0.036
  5. 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).
    View in: PubMed
    Score: 0.033
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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