Literature DB >> 29791878

Computational design of antibodies.

Sharon Fischman1, Yanay Ofran2.   

Abstract

Antibody design aims to create new antibodies with biological activity that can be used in therapy and research. Traditional methods for antibody discovery, such as animal immunization and large-scale library screening, generate antibodies that bind to the target of interest, but do not necessarily have the desired functional effect. Computational methods can be utilized as a means to guide the search for biologically relevant antibodies, focusing on specificity and affinity determinants to target a particular region of the antigen. Such an approach would allow for the design of epitope-specific antibodies that will have the desired effect on the function of the targeted protein.
Copyright © 2018 Elsevier Ltd. All rights reserved.

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Year:  2018        PMID: 29791878     DOI: 10.1016/j.sbi.2018.04.007

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  5 in total

1.  AppA: a web server for analysis, comparison, and visualization of contact residues and interfacial waters of antibody-antigen structures and models.

Authors:  Minh N Nguyen; Chandra S Verma; Pingyu Zhong
Journal:  Nucleic Acids Res       Date:  2019-07-02       Impact factor: 16.971

2.  Antibody complementarity determining region design using high-capacity machine learning.

Authors:  Ge Liu; Haoyang Zeng; Jonas Mueller; Brandon Carter; Ziheng Wang; Jonas Schilz; Geraldine Horny; Michael E Birnbaum; Stefan Ewert; David K Gifford
Journal:  Bioinformatics       Date:  2020-04-01       Impact factor: 6.937

Review 3.  VLP-Based COVID-19 Vaccines: An Adaptable Technology against the Threat of New Variants.

Authors:  Wasim A Prates-Syed; Lorena C S Chaves; Karin P Crema; Larissa Vuitika; Aline Lira; Nelson Côrtes; Victor Kersten; Francisco E G Guimarães; Mohammad Sadraeian; Fernando L Barroso da Silva; Otávio Cabral-Marques; José A M Barbuto; Momtchilo Russo; Niels O S Câmara; Gustavo Cabral-Miranda
Journal:  Vaccines (Basel)       Date:  2021-11-30

4.  Computational and Rational Design of Single-Chain Antibody against Tick-Borne Encephalitis Virus for Modifying Its Specificity.

Authors:  Ivan K Baykov; Pavel Y Desyukevich; Ekaterina E Mikhaylova; Olga M Kurchenko; Nina V Tikunova
Journal:  Viruses       Date:  2021-07-29       Impact factor: 5.048

5.  In silico proof of principle of machine learning-based antibody design at unconstrained scale.

Authors:  Rahmad Akbar; Philippe A Robert; Cédric R Weber; Michael Widrich; Robert Frank; Milena Pavlović; Lonneke Scheffer; Maria Chernigovskaya; Igor Snapkov; Andrei Slabodkin; Brij Bhushan Mehta; Enkelejda Miho; Fridtjof Lund-Johansen; Jan Terje Andersen; Sepp Hochreiter; Ingrid Hobæk Haff; Günter Klambauer; Geir Kjetil Sandve; Victor Greiff
Journal:  MAbs       Date:  2022 Jan-Dec       Impact factor: 5.857

  5 in total

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