Artificial Intelligence based System in Protein Folding using Alphafold

Title

Artificial Intelligence based System in Protein Folding using Alphafold

Creator

Srivastava P.; Suyash S.; Jayapandian N.

Description

Artificial Intelligence has a high potential to solve many real-world problems. In the recent years researchers are dealing with one of the biggest complications in biology, which is protein folding. With the assistance of technology, we can foresee how proteins fold from a chain of amino acids into 3D shapes that do life's errands. There are mainly three big problems associatedwith folding of proteins. The first problem is there any particular folding code. The second one there is a folding system. Then the final problem is we able to determine the 3D structure of proteins. Proteins are the microscopic machines and structural building blocks of our cells. They carry out important functions like breaking down foods, storing oxygen and forming scaffolds to help cells keep their shape. Each one is built up of one amino acid chain that folds in on itself into a mostly defined structure. Each part of our body and in any other organism is made either from or by proteins and this is true for every living creature, even for viruses. The structure of very small proteins can be foreseen using the computer method. This article is all about the protein folding problem with more spotlights on the role of AI-based systems in protein structure forecasts. The motivation behind this article is to convey an overall understanding of AI-based answers for protein folding problems. 2022 IEEE

Source

International Conference on Automation, Computing and Renewable Systems, ICACRS 2022 - Proceedings, pp. 750-755.

Date

2022-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

3D structure; AlphaFold; Artificial Intelligence; Biomolecules; Molecule; Protein folds

Coverage

Srivastava P., Department of CSE, CHRIST (Deemed to be University), India; Suyash S., Indian Institute of Technology, Indian School of Mines, Jharkhand, India; Jayapandian N., Department of CSE, CHRIST (Deemed to be University), India

Rights

Restricted Access

Relation

ISBN: 978-166546084-2

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/ICACRS55517.2022.10029190

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