Combining local-structure, fold-recognition, and new fold methods for protein structure prediction-Reference-Cited by-同舟云学术

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Combining local-structure, fold-recognition, and new fold methods for protein structure prediction

Published:2003 Issue:S6 Volume:53 Page:491-496
ISSN:0887-3585
Container-title:Proteins: Structure, Function, and Genetics
language:en
Short-container-title:Proteins

Author:

Karplus Kevin,Karchin Rachel,Draper Jenny,Casper Jonathan,Mandel-Gutfreund Yael,Diekhans Mark,Hughey Richard

Publisher

Wiley

Subject

Molecular Biology,Biochemistry,Structural Biology

Reference16 articles.

1. Predicting protein structure using hidden Markov models

2. Predicting protein structure using only sequence information

3. What is the value added by human intervention in protein structure prediction?

4. Hidden Markov models for detecting remote protein homologies

5. EVA: continuous automatic evaluation of protein structure prediction servers

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1. Homology detection using a protein secondary structure-based large language model;2023-12-20

2. Protein Structure Prediction: Challenges, Advances, and the Shift of Research Paradigms;Genomics, Proteomics & Bioinformatics;2023-03

3. Enhancing fragment-based protein structure prediction by customising fragment cardinality according to local secondary structure;BMC Bioinformatics;2020-05-01

4. Molecular Modeling and Drug Design Techniques in Microbial Drug Discovery;Essentials of Bioinformatics, Volume II;2019

5. Art v 4 Protein Structure as a Representative Template for Allergen Profilins: Homology Modeling and Molecular Dynamics;ACS Omega;2018-12-13

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