Nature Search

Publisher Correction: Adaptive immune receptor repertoire analysis

Vanessa Mhanna
Habib Bashour
Encarnita Mariotti-Ferrandiz
Amendments and Corrections16 Feb 2024
Nature Reviews Methods Primers

Volume: 4, P: 1
Training data composition determines machine learning generalization and biological rule discovery

Negative data composition critically shapes machine learning robustness in sequence-based biological tasks. Training data composition and its implications are investigated on biological rule discoveries.

Eugen Ursu
Aygul Minnegalieva
Victor Greiff
Research20 Aug 2025
Nature Machine Intelligence

Volume: 7, P: 1206-1219
Unconstrained generation of synthetic antibody–antigen structures to guide machine learning methodology for antibody specificity prediction

The Absolut! framework can generate synthetic three-dimensional antibody–antigen structures to assist machine learning and dataset construction for antibody design. Most importantly, the relative machine learning performance learnt on Absolut! datasets is shown to transfer to experimental datasets.

Philippe A. Robert
Rahmad Akbar
Victor Greiff
Research19 Dec 2022
Nature Computational Science

Volume: 2, P: 845-865
A novel hybrid SEIQR model incorporating the effect of quarantine and lockdown regulations for COVID-19

R. Prabakaran
Sherlyn Jemimah
M. Michael Gromiha
ResearchOpen Access15 Dec 2021
Scientific Reports

Volume: 11, P: 1-9
Adaptive immune receptor repertoire analysis

The adaptive immune receptor repertoire (AIRR) drives adaptive immune responses, which could determine disease outcomes, infectious disease and cancer. Mhanna, Bashour et al. outline the approaches and challenges in AIRR analysis, as well as future developments towards predicting adaptive immune responses.

Vanessa Mhanna
Habib Bashour
Encarnita Mariotti-Ferrandiz
Reviews25 Jan 2024
Nature Reviews Methods Primers

Volume: 4, P: 1-25
Biophysical cartography of the native and human-engineered antibody landscapes quantifies the plasticity of antibody developability

Analysis of 2 million native antibodies reveals that human-engineered antibodies form subspaces of the natural developability space. This large-scale analysis allows the quantification of developability plasticity, accelerating antibody drug design.

Habib Bashour
Eva Smorodina
Victor Greiff
ResearchOpen Access31 Jul 2024
Communications Biology

Volume: 7, P: 1-25
Exploring the sequence features determining amyloidosis in human antibody light chains

Puneet Rawat
R. Prabakaran
M. Michael Gromiha
ResearchOpen Access02 Jul 2021
Scientific Reports

Volume: 11, P: 1-11
Exploring antibody repurposing for COVID-19: beyond presumed roles of therapeutic antibodies

Puneet Rawat
Divya Sharma
M. Michael Gromiha
ResearchOpen Access13 May 2021
Scientific Reports

Volume: 11, P: 1-11

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