De novo protein design by deep network hallucination

Protein sequence design by conformational landscape optimization

(2021) Christoffer Norn et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Generating functional protein variants with variational autoencoders

(2021) Alex Hawkins-Hooker et al.   PLoS Computational Biology

Low-N protein engineering with data-efficient deep learning

(2021) Surojit Biswas et al.   NATURE METHODS

Highly accurate protein structure prediction with AlphaFold

(2021) John Jumper et al.   NATURE

Accurate prediction of protein structures and interactions using a three-track neural network

(2021) Minkyung Baek et al.   SCIENCE

Improved protein structure prediction using potentials from deep learning

(2020) Andrew W. Senior et al.   NATURE

Improved protein structure prediction using predicted interresidue orientations

(2020) Jianyi Yang et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

De Novo Protein Design for Novel Folds Using Guided Conditional Wasserstein Generative Adversarial Networks

(2020) Mostafa Karimi et al.   Journal of Chemical Information and Modeling

Fast and Flexible Protein Design Using Deep Graph Neural Networks

(2020) Alexey Strokach et al.   Cell Systems

NMRlib: user-friendly pulse sequence tools for Bruker NMR spectrometers

(2019) Adrien Favier et al.   JOURNAL OF BIOMOLECULAR NMR

I-PINE web server: an integrative probabilistic NMR assignment system for proteins

(2019) Woonghee Lee et al.   JOURNAL OF BIOMOLECULAR NMR

Distance-based protein folding powered by deep learning

(2019) Jinbo Xu   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Deep generative models for T cell receptor protein sequences

(2019) Kristian Davidsen et al.   eLife

Macromolecular structure determination using X-rays, neutrons and electrons: recent developments in Phenix

(2019) Dorothee Liebschner et al.   Acta Crystallographica Section D-Structural Biology

Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13)

(2019) Andrew W. Senior et al.   PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS

De novo design of a fluorescence-activating β-barrel

(2018) Jiayi Dou et al.   NATURE

Sparse multidimensional iterative lineshape-enhanced (SMILE) reconstruction of both non-uniformly sampled and conventional NMR data

(2016) Jinfa Ying et al.   JOURNAL OF BIOMOLECULAR NMR

Simultaneous Optimization of Biomolecular Energy Functions on Features from Small Molecules and Macromolecules

(2016) Hahnbeom Park et al.   Journal of Chemical Theory and Computation

NMRFAM-SPARKY: enhanced software for biomolecular NMR spectroscopy

(2014) Woonghee Lee et al.   BIOINFORMATICS

Protein backbone and sidechain torsion angles predicted from NMR chemical shifts using artificial neural networks

(2013) Yang Shen et al.   JOURNAL OF BIOMOLECULAR NMR

Improved low-resolution crystallographic refinement with Phenix and Rosetta

(2013) Frank DiMaio et al.   NATURE METHODS

Application of iterative soft thresholding for fast reconstruction of NMR data non-uniformly sampled with multidimensional Poisson Gap scheduling

(2012) Sven G. Hyberts et al.   JOURNAL OF BIOMOLECULAR NMR

Principles for designing ideal protein structures

(2012) Nobuyasu Koga et al.   NATURE

Features and development ofCoot

(2010) P. Emsley et al.   ACTA CRYSTALLOGRAPHICA SECTION D-BIOLOGICAL CRYSTALLOGRAPHY

The high-throughput protein sample production platform of the Northeast Structural Genomics Consortium

(2010) Rong Xiao et al.   JOURNAL OF STRUCTURAL BIOLOGY

A microscale protein NMR sample screening pipeline

(2009) Paolo Rossi et al.   JOURNAL OF BIOMOLECULAR NMR

NMR: prediction of molecular alignment from structure using the PALES software

(2008) Markus Zweckstetter   Nature Protocols

Accurate Structural Correlations from Maximum Likelihood Superpositions

(2008) Douglas L. Theobald et al.   PLoS Computational Biology