Research progress and the application of near-infrared spectroscopy in protein structure and molecular interaction analysis
C Yu, D Liang, C Yang, B Zhao, Q Dong, A Wu… - Vibrational …, 2022 - Elsevier
Protein is the basis of life substance and the main undertaker of life activities. The study of
protein structure and the interaction between protein and other molecules is the basis of …
protein structure and the interaction between protein and other molecules is the basis of …
A novel algorithm based on a modified PSO to predict 3D structure for proteins in HP model using Transfer Learning
M Rezaei, M Kheyrandish, M Mosleh - Expert Systems with Applications, 2024 - Elsevier
Most intracellular activities of living organisms are performed by proteins that have unique
and complex 3-Dimensional (3D) structures, playing very important roles in their operations …
and complex 3-Dimensional (3D) structures, playing very important roles in their operations …
BioShell 3.0: library for processing structural biology data
BioShell is an open-source package for processing biological data, particularly focused on
structural applications. The package provides parsers, data structures and algorithms for …
structural applications. The package provides parsers, data structures and algorithms for …
Prediction of protein tertiary structure via regularized template classification techniques
Ó Álvarez-Machancoses, JL Fernández-Martínez… - Molecules, 2020 - mdpi.com
We discuss the use of the regularized linear discriminant analysis (LDA) as a model
reduction technique combined with particle swarm optimization (PSO) in protein tertiary …
reduction technique combined with particle swarm optimization (PSO) in protein tertiary …
Machine learning-based exploration of enzyme-substrate networks: SET8-mediated methyllysine and its changing impact within cancer proteomes
K Biggar, N Ridgeway, A Chopra, V Lukinovic… - 2024 - researchsquare.com
The exploration of post-translational modifications (PTMs) within the proteome is pivotal for
advancing disease and cancer therapeutics. However, identifying genuine PTM sites amid …
advancing disease and cancer therapeutics. However, identifying genuine PTM sites amid …
Insights into Enzyme-substrate Network Discovery: Applying Machine Learning to High-throughput Techniques
NH Ridgeway - 2024 - repository.library.carleton.ca
The comprehensive landscape of post-translational modifications (PTMs) broadens the
functional proteome, challenging our understanding of the mechanisms behind disease and …
functional proteome, challenging our understanding of the mechanisms behind disease and …
The PSO Family: Application to the Portfolio Optimization Problem
L Fernández-Brillet, O Álvarez… - Applying Particle Swarm …, 2021 - Springer
Nonlinear high-dimensional optimization problems are generally ill-posed and ill-
conditioned, with different sets of models located in one or different disconnected valleys of …
conditioned, with different sets of models located in one or different disconnected valleys of …