SPOT‐Fold: Fragment‐Free Protein Structure Prediction Guided by Predicted Backbone Structure and Contact Map-Reference-Cited by-同舟云学术

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SPOT‐Fold: Fragment‐Free Protein Structure Prediction Guided by Predicted Backbone Structure and Contact Map

Published:2019-12-17 Issue:8 Volume:41 Page:745-750
ISSN:0192-8651
Container-title:Journal of Computational Chemistry
language:en
Short-container-title:J Comput Chem

Author:

Cai Yufeng¹,Li Xiongjun¹^ORCID,Sun Zhe¹,Lu Yutong¹,Zhao Huiying²,Hanson Jack³,Paliwal Kuldip³,Litfin Thomas⁴,Zhou Yaoqi⁴^ORCID,Yang Yuedong¹

Affiliation:

1. School of Data and Computer ScienceSun Yat‐Sen University 132 East Circle at University City, Guangzhou 510006 China

2. Sun Yat‐sen Memorial Hospital, Sun Yat‐sen University Guangzhou 510000 China

3. Signal Processing LaboratoryGriffith University Brisbane Queensland 4122 Australia

4. Institute for Glycomics and School of Information and Communication TechnologyGriffith University Southport Queensland 4222 Australia

Funder

National Health and Medical Research Council

National Natural Science Foundation of China

Publisher

Wiley

Subject

Computational Mathematics,General Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jcc.26132

Reference37 articles.

1. Folding and association of proteins

2. Methodological Advances in Protein NMR

3. How cryo-EM is revolutionizing structural biology

4. A decade of CASP: progress, bottlenecks and prognosis in protein structure prediction

5. Assessment of the model refinement category in CASP12

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1. Recent Advances and Challenges in Protein Structure Prediction;Journal of Chemical Information and Modeling;2023-12-18

2. Artificial intelligence for template-free protein structure prediction: a comprehensive review;Artificial Intelligence Review;2022-12-17

3. SE(3) Equivalent Graph Attention Network as an Energy-Based Model for Protein Side Chain Conformation;2022-09-06

4. Enhancing protein contact map prediction accuracy via ensembles of inter-residue distance predictors;Computational Biology and Chemistry;2022-08

5. Recent Applications of Deep Learning Methods on Evolution- and Contact-Based Protein Structure Prediction;International Journal of Molecular Sciences;2021-06-02

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