Natural sciences | University of Oslo

Absolut! in silico antibody-antigen binding database

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.

Philippe ROBERT, Victor Greiff, Rahmad AkbarDOI : 10.11582/2021.00063License: Creative Commons Attribution-NonCommercial 4.0
72.3 GBBiota
Systems Biology

Descriptive

Field

Value

Theme

Subjects

Type

dataset

Language

English

Status

COMPLETE

Projects

    Dataset Size (MB)

    72287.800479

    State

    active

    Last Modified

    2025-07-27T05:17:29

    Identifiers

    Field

    Value

    Identifier

    edf1debc-50e1-4289-9c3f-7626ed93cbcb

    Other Identifier/DOI

    10.11582/2021.00063

    Personnel (first name, last name, organisation, email)

    Field

    Value

    Contact points

    Contact point 1

    Type

    person

    First name

    Philippe Paul Auguste

    Last name

    Robert

    Organisation

    University of Oslo

    Email

    pprobert@uio.no

    ORCID

    Name

    Acronym

    Contact email

    Homepage URL

    ROR

    Creators

    Creator 1

    Type

    person

    First name

    Philippe

    Last name

    ROBERT

    Organisation

    ENS-LYON

    Email

    philippe.robert@ens-lyon.org

    ORCID

    Name

    Acronym

    Contact email

    Homepage URL

    ROR

    Creator 2

    Type

    person

    First name

    Victor

    Last name

    Greiff

    Organisation

    UIO

    Email

    victor.greiff@uio.no

    ORCID

    Name

    Acronym

    Contact email

    Homepage URL

    ROR

    Creator 3

    Type

    person

    First name

    Rahmad

    Last name

    Akbar

    Organisation

    GMAIL

    Email

    matcsiuio@gmail.com

    ORCID

    Name

    Acronym

    Contact email

    Homepage URL

    ROR

    Contributors

    Contributor 1

    First name

    Philippe Paul Auguste

    Last name

    Robert

    Organisation

    University of Oslo

    Email

    pprobert@uio.no

    ORCID

    Type

    Related Person

    Dataset owner

    Owner 1

    Publisher

    NIRD RDA

    Constraints

    Field

    Value

    License

    CC-BY-NC-4.0

    Access Rights

    public

    Extent

    Field

    Value

    Spatial

    Temporal

    Reference Dates

    Field

    Value

    Release date

    2021-07-12

    Related URLs

    Field

    Value

    Related Resources

    Versioning Info

    Field

    Value

    Version

    1

    Version notes

    First version of the dataset.

    Has Version

    Is version of

    Version type

    latest