Journal of Proteomics & Bioinformatics
Open Access

Abstract

A Mathematical Model for Protein Structure Prediction and Analysis

Zakaria Lamine*, Mohammed Wadia Mansouri and My Ismail Mamouni

In the aim of presenting a learning approach derived from algebraic topology for protein structure prediction, we will be showing how our quotient spaces could qualitatively give insight into how building good homomorphism’s can help identifying accurate neural networks. We will also be giving as an example of application the use of a model generated after extracting an algebraic invariant which is in our case a persistent diagram on some biological data, by encoding the two first homologies H₁ to H₀ using a boundary operator, the algorithms are originated from algebraic geometry. Basically two main algorithms are used the Buchberger’s algorithm and Shreyer’s algorithm.

Published Date: 2024-10-03; Received Date: 2024-09-03