Application of mutual information estimation for predicting the structural stability of pentapeptides-Reference-Cited by-同舟云学术

Application of mutual information estimation for predicting the structural stability of pentapeptides

Published:2020-10-27 Issue:5 Volume:35 Page:263-271
ISSN:1569-3988
Container-title:Russian Journal of Numerical Analysis and Mathematical Modelling
language:
Short-container-title:

Author:

Mikhalskii A. I.¹,Petrov I. V.²,Tsurko V. V.¹,Anashkina A. A.³,Nekrasov A. N.⁴

Affiliation:

1. V. A. Trapeznikov Institute of Control Sciences, RAS, Moscow, 117997, Russia

2. LLC T2 Mobile, Big Data Office, Moscow, 108881, Russia

3. Shemyakin–Ovchinnikov Institute of Bioorganic Chemistry, RAS, Moscow, 117997, Russia

4. Engelgardt Institute of Molecular Biology, RAS, Moscow, 119991, Russia

Abstract

AbstractA novel non-parametric method for mutual information estimation is presented. The method is suited for informative feature selection in classification and regression problems. Performance of the method is demonstrated on problem of stable short peptide classification.

Publisher

Walter de Gruyter GmbH

Subject

Modeling and Simulation,Numerical Analysis

Link

https://www.degruyter.com/document/doi/10.1515/rnam-2020-0022/pdf

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