Mathematical and Machine Learning Approaches for Classification of Protein Secondary Structure Elements from <i>Cα</i> Coordinates

Mathematical and Machine Learning Approaches for Classification of Protein Secondary Structure Elements from <i>Cα</i> Coordinates

Determining Secondary Structure Elements (SSEs) for any protein is crucial as an intermediate step for experimental tertiary structure determination. SSEs are identified using popular tools such as DSSP and STRIDE. These tools use atomic information to locate hydrogen bonds to identify SSEs. When so...

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Bibliographic Details
Main Authors: Ali Sekmen, Kamal Al Nasr, Bahadir Bilgin, Ahmet Bugra Koku, Christopher Jones
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Biomolecules
Subjects:
protein structure modeling
protein secondary structure
secondary structure identification
machine learning
protein trace
mathematical modeling
Online Access:https://www.mdpi.com/2218-273X/13/6/923

Internet

https://www.mdpi.com/2218-273X/13/6/923

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