10.11582/2021.00063
Title Absolut! in silico antibody-antigen binding database
Subject
Domain: Natural sciences, Field: Biology, Subfield: Systems Biology
Published 2021-07-12
Creator
Philippe ROBERT
Victor Greiff
Rahmad Akbar
Dataset (67.32 GB)
License
Description
This is a database of in silico generated antibody-antigen bindings (159 antigens times 6.9 million CDRH3 murine sequences), as resource for benchmarking machine learning methods. The content of the files is explained in Readme.pdf The reference publication is available on biorxiv, ID BIORXIV/2021/451258: Robert et al., A billion synthetic 3D-antibody-antigen complexes enable unconstrained machine-learning formalized investigation of antibody specificity prediction The software used to generate the database is available at https://github.com/csi-greifflab/Absolut for all explanations.
Science publication
Published : URL: https://www.biorxiv.org/content/10.1101/2021.07.06.451258v2, Citation: P. A. Robert, R. Akbar, R. Frank, M. Pavlović, M. Widrich, I. Snapkov, M. Chernigovskaya, L. Scheffer, A. Slabodkin, B. B. Mehta, M. H. Vu, A. Prósz, K. Abram, A. Olar, E. Miho, D. T. T. Haug, F. Lund-Johansen, S. Hochreiter, I. H. Haff, G. Klambauer, G. K. Sandve, V. Greiff, A billion synthetic 3D-antibody-antigen complexes enable unconstrained machine-learning formalized investigation of antibody specificity prediction. bioRxiv (2021) (primary)
Rights Holder
University of Oslo (UiO)
Data Manager
Philippe Paul Auguste Robert
Depositor
Philippe Paul Auguste Robert
No of downloads 0
Pageviews 0
Table of Contents LINK