Literature DB >> 30217829

Observed Antibody Space: A Resource for Data Mining Next-Generation Sequencing of Antibody Repertoires.

Aleksandr Kovaltsuk1, Jinwoo Leem1, Sebastian Kelm2, James Snowden2, Charlotte M Deane3, Konrad Krawczyk3.   

Abstract

Abs are immune system proteins that recognize noxious molecules for elimination. Their sequence diversity and binding versatility have made Abs the primary class of biopharmaceuticals. Recently, it has become possible to query their immense natural diversity using next-generation sequencing of Ig gene repertoires (Ig-seq). However, Ig-seq outputs are currently fragmented across repositories and tend to be presented as raw nucleotide reads, which means nontrivial effort is required to reuse the data for analysis. To address this issue, we have collected Ig-seq outputs from 55 studies, covering more than half a billion Ab sequences across diverse immune states, organisms (primarily human and mouse), and individuals. We have sorted, cleaned, annotated, translated, and numbered these sequences and make the data available via our Observed Antibody Space (OAS) resource at http://antibodymap.org The data within OAS will be regularly updated with newly released Ig-seq datasets. We believe OAS will facilitate data mining of immune repertoires for improved understanding of the immune system and development of better biotherapeutics.
Copyright © 2018 by The American Association of Immunologists, Inc.

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Year:  2018        PMID: 30217829     DOI: 10.4049/jimmunol.1800708

Source DB:  PubMed          Journal:  J Immunol        ISSN: 0022-1767            Impact factor:   5.422


  47 in total

1.  Filtering Next-Generation Sequencing of the Ig Gene Repertoire Data Using Antibody Structural Information.

Authors:  Aleksandr Kovaltsuk; Konrad Krawczyk; Sebastian Kelm; James Snowden; Charlotte M Deane
Journal:  J Immunol       Date:  2018-11-05       Impact factor: 5.422

Review 2.  How repertoire data are changing antibody science.

Authors:  Claire Marks; Charlotte M Deane
Journal:  J Biol Chem       Date:  2020-05-14       Impact factor: 5.157

3.  Data Sharing and Reuse: A Method by the AIRR Community.

Authors:  Brian D Corrie; Scott Christley; Christian E Busse; Lindsay G Cowell; Kira C M Neller; Florian Rubelt; Nicholas Schwab
Journal:  Methods Mol Biol       Date:  2022

Review 4.  Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies.

Authors:  Rahmad Akbar; Habib Bashour; Puneet Rawat; Philippe A Robert; Eva Smorodina; Tudor-Stefan Cotet; Karine Flem-Karlsen; Robert Frank; Brij Bhushan Mehta; Mai Ha Vu; Talip Zengin; Jose Gutierrez-Marcos; Fridtjof Lund-Johansen; Jan Terje Andersen; Victor Greiff
Journal:  MAbs       Date:  2022 Jan-Dec       Impact factor: 5.857

Review 5.  Progress toward improved understanding of antibody maturation.

Authors:  Sandor Vajda; Kathryn A Porter; Dima Kozakov
Journal:  Curr Opin Struct Biol       Date:  2021-02-17       Impact factor: 6.809

6.  Quantifying the nativeness of antibody sequences using long short-term memory networks.

Authors:  Andrew M Wollacott; Chonghua Xue; Qiuyuan Qin; June Hua; Tanggis Bohnuud; Karthik Viswanathan; Vijaya B Kolachalama
Journal:  Protein Eng Des Sel       Date:  2019-12-31       Impact factor: 1.650

7.  ClonoMatch: a tool for identifying homologous immunoglobulin and T cell receptor sequences in large databases.

Authors:  Taylor Jones; Samuel B Day; Luke Myers; James E Crowe; Cinque Soto
Journal:  Bioinformatics       Date:  2020-12-16       Impact factor: 6.937

8.  MetaLogo: a heterogeneity-aware sequence logo generator and aligner.

Authors:  Yaowen Chen; Zhen He; Yahui Men; Guohua Dong; Shuofeng Hu; Xiaomin Ying
Journal:  Brief Bioinform       Date:  2022-03-10       Impact factor: 11.622

Review 9.  Current advances in biopharmaceutical informatics: guidelines, impact and challenges in the computational developability assessment of antibody therapeutics.

Authors:  Rahul Khetan; Robin Curtis; Charlotte M Deane; Johannes Thorling Hadsund; Uddipan Kar; Konrad Krawczyk; Daisuke Kuroda; Sarah A Robinson; Pietro Sormanni; Kouhei Tsumoto; Jim Warwicker; Andrew C R Martin
Journal:  MAbs       Date:  2022 Jan-Dec       Impact factor: 5.857

10.  Sequence signatures of two public antibody clonotypes that bind SARS-CoV-2 receptor binding domain.

Authors:  Timothy J C Tan; Meng Yuan; Kaylee Kuzelka; Gilberto C Padron; Jacob R Beal; Xin Chen; Yiquan Wang; Joel Rivera-Cardona; Xueyong Zhu; Beth M Stadtmueller; Christopher B Brooke; Ian A Wilson; Nicholas C Wu
Journal:  Nat Commun       Date:  2021-06-21       Impact factor: 14.919

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