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Protein structure determination

Structure of Klebsiella pneumoniae adenosine monophosphate nucleosidase

Brian C. Richardson, Roger Shek, Wesley C. Van Voorhis, Jarrod B. French

In silico functional annotation of hypothetical proteins from the Bacillus paralicheniformis strain Bac84 reveals proteins with biotechnological potentials and adaptational functions to extreme environments

Md. Atikur Rahman, Uzma Habiba Heme, Md. Anowar Khasru Parvez

New insights into disordered proteins and regions according to the FOD-M model

Irena Roterman, Katarzyna Stapor, Piotr Fabian, Leszek Konieczny

Validation of the solution structure of dimerization domain of PRC1

Fei Tan, Jin Xu

AlphaFold2 and RoseTTAFold predict posttranslational modifications. Chromophore formation in GFP-like proteins

Sophia M. Hartley, Kelly A. Tiernan, [ ... ], Marc Zimmer

Simultaneous prediction of antibody backbone and side-chain conformations with deep learning

Deniz Akpinaroglu, Jeffrey A. Ruffolo, Sai Pooja Mahajan, Jeffrey J. Gray

DOCKGROUND membrane protein-protein set

Ian Kotthoff, Petras J. Kundrotas, Ilya A. Vakser

The register shift rules for βαβ-motifs for de novo protein design

Hiroto Murata, Hayao Imakawa, Nobuyasu Koga, George Chikenji

Including residual contact information into replica-exchange MD simulations significantly enriches native-like conformations

Arthur Voronin, Marie Weiel, Alexander Schug

NMR resonance assignment and structure prediction of the C-terminal domain of the microtubule end-binding protein 3

Hazem Abdelkarim, Ben Hitchinson, [ ... ], Vadim Gaponenko

QUATgo: Protein quaternary structural attributes predicted by two-stage machine learning approaches with heterogeneous feature encoding

Chi-Hua Tung, Ching-Hsuan Chien, [ ... ], Yen-Wei Chu

SPECS: Integration of side-chain orientation and global distance-based measures for improved evaluation of protein structural models

Rahul Alapati, Md. Hossain Shuvo, Debswapna Bhattacharya

Protein model accuracy estimation based on local structure quality assessment using 3D convolutional neural network

Rin Sato, Takashi Ishida

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