Recent Publications

Corresponding author, #First author

RNA3DB: A structurally-dissimilar dataset split for training and benchmarking deep learning models for RNA structure prediction
Szikszai M, Magnus M, Sanghi S, Kadyan S, Bouatta N, Rivas E. (2024)
Journal of Molecular Biology

OpenProteinSet: Training data for structural biology at scale
Ahdritz G, Bouatta N, Kadyan S, Jarosch L, Berenberg D, Fisk I, Watkins A,  Ra S, Bonneau R, AlQuraishi M. (2023)
NeurIPS (Datasets and Benchmarks Track)

  • The largest database for training AlphaFold2-like systems.
  • Featured by Hugging Face Daily Papers.
     

Structural biology at the scale of proteomes
Bouatta N, and AlQuraishi M. (2023)
Nature Structural & Molecular Biology
 

OpenFold: Retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalization
Ahdritz G, Bouatta N,†,# Kadyan S, Xia Q, Gerecke W, O'Donnell T, Berenberg D, Fisk I, Zanichelli N, Zhang B, Nowaczynski A, Wang B, Stepniewska-Dziubinska M, Zhang S, Ojewole A, Guney M, Biderman S, Watkins A,  Ra S, Lorenzo P, Nivon L,  Weitzner B, Ban Y, Sorger P, Mostaque E, Zhang Z, Bonneau R, AlQuraishi M. (2022)
Nature Methods

Single-sequence protein structure prediction using language models and deep learning
Chowdhury R, Bouatta N,†,# Biswas S, Floristean C, Rochereau C, Kharkar A, Ahdritz G, Zhang J, Church G, Sorger P, and AlQuraishi M. (2022). 
Nature Biotechnology


Protein structure prediction by AlphaFold2: are attention and symmetries all you need?
Bouatta N,  Sorger P,  AlQuraishi M. (2021)
Acta Crystallographica D 

  • Featured as the cover of the August 2021 issue of Acta Crystallographica D.