TopSuite Web Server: A Meta-Suite for Deep-Learning-Based Protein Structure and Quality Prediction-Reference-Cited by-同舟云学术

TopSuite Web Server: A Meta-Suite for Deep-Learning-Based Protein Structure and Quality Prediction

Published:2021-01-19 Issue:2 Volume:61 Page:548-553
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Mulnaes Daniel¹^ORCID,Koenig Filip¹^ORCID,Gohlke Holger¹²^ORCID

Affiliation:

1. Institut für Pharmazeutische und Medizinische Chemie, Heinrich-Heine-Universität Düsseldorf, 40225 Düsseldorf, Germany

2. John von Neumann Institute for Computing (NIC), Jülich Supercomputing Centre (JSC), and Institute of Biological Information Processing (IBI-7: Structural Biochemistry), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany

Funder

Bundesministerium f?r Bildung und Forschung

Deutsche Forschungsgemeinschaft

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.0c01202

Reference30 articles.

1. Assessing predictions of protein-protein interaction: The CAPRI experiment

2. Binding Region of Alanopine Dehydrogenase Predicted by Unbiased Molecular Dynamics Simulations of Ligand Diffusion

3. Protein–ligand binding site recognition using complementary binding-specific substructure comparison and sequence profile alignment

4. A Three-Dimensional Model of the Myoglobin Molecule Obtained by X-Ray Analysis

5. Structures of Large Protein Complexes Determined by Nuclear Magnetic Resonance Spectroscopy

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