Evidence map›Paper›PMID 33539768›Full record

ArticleStructure (London, England : 1993)2021

An expanded benchmark for antibody-antigen docking and affinity prediction reveals insights into antibody recognition determinants.

Johnathan D Guest, Thom Vreven, Jing Zhou, Iain Moal, Jeliazko R Jeliazkov, Jeffrey J Gray, Zhiping Weng, Brian G Pierce

Abstract read
In one paragraph

Article in Structure (London, England : 1993), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

74 citing papers in PubMed.

  1. Article
  2. Review
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  11. Beyond contacts: The important role of the support region in protein complex assembly.Protein science : a publication of the Protein Society · 2026
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  12. Article
  13. Article
  14. Article
  15. Review
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  17. Modeling Protein-Protein Complexes by Combining pyDock and AlphaFold.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  18. Article
  19. Review
  20. Article

14 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Johnathan D GuestUniversity of Maryland Institute for Bioscience and Biotechnology Research, Rockville, MD 20850, USA; Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD 20742, USA.
Thom VrevenProgram in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, MA 01605, USA.
Jing ZhouDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.
Iain MoalComputational Sciences, GlaxoSmithKline Research and Development, Stevenage SG1 2NY, UK.
Jeliazko R JeliazkovProgram in Molecular Biophysics, Johns Hopkins University, Baltimore, MD 21218, USA.
Jeffrey J GrayDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD 21218, USA; Program in Molecular Biophysics, Johns Hopkins University, Baltimore, MD 21218, USA.
Zhiping WengProgram in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, MA 01605, USA. Electronic address: zhiping.weng@umassmed.edu.
Brian G PierceUniversity of Maryland Institute for Bioscience and Biotechnology Research, Rockville, MD 20850, USA; Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD 20742, USA. Electronic address: pierce@umd.edu.

Funding

High-resolution definition of B cell responses to HIV Env for immunogen designR01AI102766 · NIAID · UNIV OF MARYLAND, COLLEGE PARK · PI LI, YUXING · 2013 to 2024
$6.6M
Prediction of the Structure of Therapeutic Antibodies with their AntigensR01GM078221 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI GRAY, JEFFREY J · 2006 to 2020
$4.0M
Anti-flavivirus B cell response analysis to aid vaccine designR01AI175439 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI Yuxing Li · 2023 to 2026
$3.1M
Template-based docking refinement approach to protein-protein structure modelingR01GM116960 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHANG, YANG · 2016 to 2019
$1.4M
High Resolution Modeling and Design of T-Cell ReceptorsR01GM126299 · NIGMS · UNIV OF MARYLAND, COLLEGE PARK · PI PIERCE, BRIAN G. · 2018 to 2021
$1.3M
Graduate Training in VirologyT32AI125186 · NIAID · UNIV OF MARYLAND, COLLEGE PARK · PI SIMON, ANNE ELIZABETH · 2016 to 2020
$1.3M
Continual Development of Protein Docking AlgorithmsR01GM084884 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI WENG, ZHIPING · 2009 to 2012
$1.2M
Development of a Computational Framework for TCR EngineeringR01GM103773 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI BAKER, BRIAN M, WENG, ZHIPING · 2013 to 2016
$1.2M
Improved Informatics for Epitope Mapping by Hydrogen Exchange-Mass SpectrometryR21AI135701 · NIAID · UNIVERSITY OF KANSAS LAWRENCE · PI WEIS, DAVID DANIEL · 2018 to 2019
$436k
Computational Design of Crystal Lattice Interactions to Determine Recalcitrant Protein StructuresF31GM123616 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI JELIAZKOV, JELIAZKO · 2017 to 2018
$81k
NIAID NIH HHS R01 AI102766NIAID NIH HHS R01 AI175439NIAID NIH HHS R21 AI135701NIAID NIH HHS T32 AI125186NIGMS NIH HHS F31 GM123616NIGMS NIH HHS R01 GM078221NIGMS NIH HHS R01 GM084884NIGMS NIH HHS R01 GM103773NIGMS NIH HHS R01 GM116960NIGMS NIH HHS R01 GM126299
6 · The paper itself

Abstract

Accurate predictive modeling of antibody-antigen complex structures and structure-based antibody design remain major challenges in computational biology, with implications for biotherapeutics, immunity, and vaccines. Through a systematic search for high-resolution structures of antibody-antigen complexes and unbound antibody and antigen structures, in conjunction with identification of experimentally determined binding affinities, we have assembled a non-redundant set of test cases for antibody-antigen docking and affinity prediction. This benchmark more than doubles the number of antibody-antigen complexes and corresponding affinities available in our previous benchmarks, providing an unprecedented view of the determinants of antibody recognition and insights into molecular flexibility. Initial assessments of docking and affinity prediction tools highlight the challenges posed by this diverse set of cases, which includes camelid nanobodies, therapeutic monoclonal antibodies, and broadly neutralizing antibodies targeting viral glycoproteins. This dataset will enable development of advanced predictive modeling and design methods for this therapeutically relevant class of protein-protein interactions.

Indexed as

AlgorithmsAntibodiesAntibodies, MonoclonalAntibodies, ViralAntigen-Antibody ComplexAntigensBroadly Neutralizing AntibodiesComputational BiologyMolecular Docking SimulationProtein BindingProtein ConformationSingle-Domain AntibodiesSoftwareStructure-Activity RelationshipAntibodiesAntibodies, MonoclonalAntibodies, ViralAntigen-Antibody ComplexAntigensBroadly Neutralizing AntibodiesSingle-Domain Antibodiesaffinity predictionantibody designbiotherapeuticsmonoclonal antibodiesnanobodyprotein-protein dockingviruses

Identifiers

PMID33539768
PMCPMC8178184

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.