Computational Method in Protein Structure and Function Data

Author(s): Hao Lin.

Journal Name: Protein & Peptide Letters

Volume 27 , Issue 4 , 2020

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Chen, W.; Nie, F.; Ding, H. Recent advances of computational methods for identifying bacteriophage virion proteins. Protein Pept. Lett., 2020, 27(4), 259-264.
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Han, Y.; Cheng, L.; Sun, W. Analysis of protein-protein interaction networks through computational approaches. Protein Pept. Lett., 2020, 27(4), 265-278.
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Xie, W.; Feng, Y.E. Prediction of the disordered regions of intrinsically disordered protein based on the molecular functions. Protein Pept. Lett., 2020, 27(4), 279-286.
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Zhang, L.; Kong, L. A novel amino acid properties selection method for protein fold classification. Protein Pept. Lett., 2020, 27(4), 287-294.
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Zhan, Q.; Fu, Y.; Jiang, Q.; Liu, B.; Peng, J.; Wang, Y. SpliVert: A protein multiple sequence alignment refinement method based on splitting-splicing vertically. Protein Pept. Lett., 2020, 27(4), 295-302.
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Li, R.; Li, H.; Yang, S.; Feng, X. The influences of palindromes in mRNA on protein folding rates. Protein Pept. Lett., 2020, 27(4), 303-312.
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Xiao, X.; Chen, W-J.; Qiu, W-R. A novel prediction of quaternary structural type of proteins with gene ontology. Protein Pept. Lett., 2020, 27(4), 313-320.
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Li, Y.; Zhang, Y.; Lv, J. An effective cumulative torsion angles model for prediction of protein folding rates. Protein Pept. Lett., 2020, 27(4), 321-328.
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Xu, L.; Liang, G.; Chen, B.; Tan, X.; Xiang, H.; Liao, C. A computational method for the identification of endolysins and autolysins. Protein Pept. Lett., 2020, 27(4), 329-336.
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Wang, Y.; Huang, J.; Kang, J.; Li, N.; Zhou, Y.; Tang, Z.; He, B.; Neuro, C.S. A tool to predict cleavage sites of neuropeptide precursors. Protein Pept. Lett., 2020, 27(4), 337-345.


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Article Details

VOLUME: 27
ISSUE: 4
Year: 2020
Page: [257 - 258]
Pages: 2
DOI: 10.2174/092986652704200311123651

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