Cited by 136Protein Structure and DynamicsMonoclonal and Polyclonal Antibodies Researchvaccines and immunoinformatics approaches

Principles for computational design of binding antibodies

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Baran, Dror, Pszolla, M. Gabriele, Lapidoth, Gideon D., Norn, Christoffer, Dym, Orly, Unger, Tamar, Albeck, Shira, Tyka, Michael D. +1 more·2017·Proceedings of the National Academy of Sciences

Abstract

Significance: Antibodies are the most versatile class of binding molecule known, and have numerous applications in biomedicine. Computational design of antibodies, however, poses unusual difficulties relative to previously designed proteins, as antibodies comprise multiple nonideal features, such as long and unstructured loops and buried charges and polar interaction networks. We developed an algorithm that uses information on backbone conformations and sequence-conservation patterns observed in natural antibodies to design new antibody binders. Designed antibodies were very different in sequence from natural ones, but had similarly desirable properties of affinity and stability, and molecular structures showed high accuracy relative to the design models. The design principles we implemented can be used to design other functional folds, including many enzyme classes.

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Crossref · 10.1073/pnas.1707171114

Cites

51 of 51 references verified0 citation errors · 0 not checkable

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  • Designing proteins that bind to a specific site on the surface of a target protein using no information other than the three-dimensional structure of the target remains a challenge.

    “The design of proteins that bind to a specific site on the surface of a target protein using no information other than the three-dimensional structure of the target remains a challenge1–5.”
  • Computational docking of antibody scaffolds with varied loop geometries has yielded binders, but the designed binding modes have rarely been validated with high-resolution structures.

    “Computational docking of antibody scaffolds with varied loop geometries has yielded binders, but the designed binding modes have rarely been validated with high-resolution structures4.”
  • Established structural bioinformatics methods such as homology modelling, protein-protein docking or protein interface prediction are already used for rational antibody design.

    “Established structural bioinformatics methods such as homology modelling [6, 7], protein–protein docking [8, 9] or protein interface prediction [10] are already used for rational antibody design [11–13].”

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Authors
Baran, D., Pszolla, M. G., Lapidoth, G. D., Norn, C., Dym, O., Unger, T., Albeck, S., Tyka, M. D., & Fleishman, S. J.
Affiliations
  • Weizmann Institute of Science (IL)
  • Google (United States) (US)
Venue
Proceedings of the National Academy of Sciences
Published
2017-09-25
Volume
114
Issue
41
Pages
10900-10905
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2758496793
Cited by
136
References
51
Citations by year
2026: 4 · 2025: 14 · 2024: 12 · 2023: 13 · 2022: 20 · 2021: 28 · 2020: 14 · 2019: 16 · 2018: 15
FWCI
5.00
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Lund University Publications (Lund University) (submittedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Monoclonal and Polyclonal Antibodies Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › vaccines and immunoinformatics approaches
Keywords
antibody design, computational protein design, binding antibodies, sequence conservation, backbone conformation, natural antibodies, buried charges, affinity, stability, enzyme design
MeSH terms
Antibodies, Binding Sites, Antibody, Humans, Immunoglobulin Fragments, Insulin, Ligands, Models, Molecular, Mycobacterium tuberculosis, Protein Conformation, Crystallography, X-Ray, Complementarity Determining Regions, Acyl-Carrier Protein S-Acetyltransferase

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