TemPred: A Novel Protein Template Search Engine to Improve Protein Structure Prediction-Reference-Cited by-同舟云学术

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TemPred: A Novel Protein Template Search Engine to Improve Protein Structure Prediction

Published:2023-05-01 Issue:3 Volume:20 Page:2112-2121
ISSN:1545-5963
Container-title:IEEE/ACM Transactions on Computational Biology and Bioinformatics
language:
Short-container-title:IEEE/ACM Trans. Comput. Biol. and Bioinf.

Author:

Tripathi Asmita¹,Mondal Rajkrishna²,Lahiri Tapobrata¹^ORCID,Chaurasiya Deepak¹,Pal Manoj Kumar³

Affiliation:

1. Department of Applied Sciences, Indian Institute of Information Technology, Prayagraj, UP, India

2. Department of Biotechnology, Nagaland University, Dimapur, Nagaland, India

3. Faculty of Engineering & Technology, United University Prayagraj, Prayagraj, UP, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/8857/10144451/10005099.pdf?arnumber=10005099

Reference23 articles.

1. Principles that Govern the Folding of Protein Chains

2. ProtPCV: A Fixed Dimensional Numerical Representation of Protein Sequence to Significantly Reduce Sequence Search Time

3. PyMod 3: a complete suite for structural bioinformatics in PyMOL

4. Identification of common molecular subsequences

5. A general method applicable to the search for similarities in the amino acid sequence of two proteins

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. IDPpred: a new sequence-based predictor for identification of intrinsically disordered protein with enhanced accuracy;Journal of Biomolecular Structure and Dynamics;2023-12-11

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