C10Pred: A first machine learning based tool to predict C10 family cysteine peptidases using sequence-derived features

Authors

Adeel Malik, Sangmyung University
Nitin Mahajan, Washington University School of Medicine in St. Louis
Tanveer Ali Dar, University of Kashmir, India
Chang-Bae Kim, Sangmyung University

Journal

International Journal of Molecular Sciences

Publication Date

8-23-2022

Volume

23

Issue

17

First Page

9518

Document Type

Open Access Publication

DOI

10.3390/ijms23179518

Rights and Permissions

Malik, A.; Mahajan, N.; Dar, T.A.; Kim, C.-B. C10Pred: A First Machine Learning Based Tool to Predict C10 Family Cysteine Peptidases Using Sequence-Derived Features. Int. J. Mol. Sci. 2022, 23, 9518. https://doi.org/10.3390/ijms23179518 This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Recommended Citation

Malik, Adeel; Mahajan, Nitin; Dar, Tanveer Ali; and Kim, Chang-Bae, "C10Pred: A first machine learning based tool to predict C10 family cysteine peptidases using sequence-derived features." International Journal of Molecular Sciences. 23, 17. 9518 (2022).
https://digitalcommons.wustl.edu/oa_4/601