Computational identification of multiple lysine PTM sites by analyzing the instance hardness and feature importance
Abstract Identification of post-translational modifications (PTM) is significant in the study of computational proteomics, cell biology, pathogenesis, and drug development due to its role in many bio-molecular mechanisms. Though there are several computational tools to identify individual PTMs, only...
Saved in:
Main Authors: | Sabit Ahmed, Afrida Rahman, Md. Al Mehedi Hasan, Shamim Ahmad, S. M. Shovan |
---|---|
Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/88a966cf5d1144c39a8b9b5dd5e744b1 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Quantum tunneling and quantum walks as algorithmic resources to solve hard K-SAT instances
by: Ernesto Campos, et al.
Published: (2021) -
Proteomic and molecular dynamic investigations of PTM-induced structural fluctuations in breast and ovarian cancer
by: Dmitry Tikhonov, et al.
Published: (2021) -
Instance Reduction for Avoiding Overfitting in Decision Trees
by: Amro Asma’, et al.
Published: (2021) -
Conceptualization of Organizational Stroke
(Antecedents, Instances and Consequences)
by: Mojtaba Shajari, et al.
Published: (2021) -
INSTANCE – the Italian seismic dataset for machine learning
by: A. Michelini, et al.
Published: (2021)