Crystallographic molecular replacement using an in silico‐generated search model of SARS‐CoV ‐2 ORF8

Improved protein structure prediction using potentials from deep learning

(2020) Andrew W. Senior et al.   NATURE

‘It will change everything’: DeepMind’s AI makes gigantic leap in solving protein structures

(2020) Ewen Callaway   NATURE

Structure of SARS-CoV-2 ORF8, a rapidly evolving immune evasion protein

(2020) Thomas G. Flower et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Prediction of interresidue contacts with DeepMetaPSICOV in CASP13

(2019) Shaun M. Kandathil et al.   PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS

Analysis of distance‐based protein structure prediction by deep learning in CASP13

(2019) Jinbo Xu et al.   PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS

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

Molecular replacement using structure predictions from databases

(2019) Adam J. Simpkin et al.   Acta Crystallographica Section D-Structural Biology

High precision in protein contact prediction using fully convolutional neural networks and minimal sequence features

(2018) David T Jones et al.   BIOINFORMATICS

Real-space refinement in PHENIX for cryo-EM and crystallography

(2018) Pavel V. Afonine et al.   Acta Crystallographica Section D-Structural Biology

Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model

(2017) Sheng Wang et al.   PLoS Computational Biology

Crystal structure of human chondroadherin: solving a difficult molecular-replacement problem usingde novomodels

(2017) Sebastian Rämisch et al.   Acta Crystallographica Section D-Structural Biology

Molprobity's ultimate rotamer-library distributions for model validation

(2016) Bradley J. Hintze et al.   PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS

Structural basis of Dscam1 homodimerization: Insights into context constraint for protein recognition

(2016) S.-A. Li et al.   Science Advances

MetaPSICOV: combining coevolution methods for accurate prediction of contacts and long range hydrogen bonding in proteins

(2014) David T. Jones et al.   BIOINFORMATICS

Improved Contact Predictions Using the Recognition of Protein Like Contact Patterns

(2014) Marcin J. Skwark et al.   PLoS Computational Biology

Molecular replacement: tricks and treats

(2013) Chantal Abergel   ACTA CRYSTALLOGRAPHICA SECTION D-BIOLOGICAL CRYSTALLOGRAPHY

Advances inRosettastructure prediction for difficult molecular-replacement problems

(2013) Frank DiMaio   ACTA CRYSTALLOGRAPHICA SECTION D-BIOLOGICAL CRYSTALLOGRAPHY

Molecular replacement then and now

(2013) Giovanna Scapin   ACTA CRYSTALLOGRAPHICA SECTION D-BIOLOGICAL CRYSTALLOGRAPHY

High-Resolution Comparative Modeling with RosettaCM

(2013) Yifan Song et al.   STRUCTURE

AMPLE: a cluster-and-truncate approach to solve the crystal structures of small proteins using rapidly computedab initiomodels

(2012) Jaclyn Bibby et al.   ACTA CRYSTALLOGRAPHICA SECTION D-BIOLOGICAL CRYSTALLOGRAPHY

A Position-Specific Distance-Dependent Statistical Potential for Protein Structure and Functional Study

(2012) Feng Zhao et al.   STRUCTURE

Features and development ofCoot

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