[HTML][HTML] Homology modeling in the time of collective and artificial intelligence

T Hameduh, Y Haddad, V Adam, Z Heger - Computational and Structural …, 2020 - Elsevier
Homology modeling is a method for building protein 3D structures using protein primary
sequence and utilizing prior knowledge gained from structural similarities with other …

Protein function analysis through machine learning

C Avery, J Patterson, T Grear, T Frater, DJ Jacobs - Biomolecules, 2022 - mdpi.com
Machine learning (ML) has been an important arsenal in computational biology used to
elucidate protein function for decades. With the recent burgeoning of novel ML methods and …

DeepFold: enhancing protein structure prediction through optimized loss functions, improved template features, and re-optimized energy function

JW Lee, JH Won, S Jeon, Y Choo, Y Yeon, JS Oh… - …, 2023 - academic.oup.com
Motivation Predicting protein structures with high accuracy is a critical challenge for the
broad community of life sciences and industry. Despite progress made by deep neural …

Can molecular dynamics simulations improve the structural accuracy and virtual screening performance of GPCR models?

J Kapla, I Rodríguez-Espigares, F Ballante… - PLoS Computational …, 2021 - journals.plos.org
The determination of G protein-coupled receptor (GPCR) structures at atomic resolution has
improved understanding of cellular signaling and will accelerate the development of new …

Driven to near‐experimental accuracy by refinement via molecular dynamics simulations

L Heo, CF Arbour, M Feig - Proteins: Structure, Function, and …, 2019 - Wiley Online Library
Protein model refinement has been an essential part of successful protein structure
prediction. Molecular dynamics simulation‐based refinement methods have shown …

Direct experimental observation of blue-light-induced conformational change and intermolecular interactions of cryptochrome

P Li, H Cheng, V Kumar, CS Lupala, X Li, Y Shi… - Communications …, 2022 - nature.com
Cryptochromes are blue light receptors that mediate circadian rhythm and magnetic sensing
in various organisms. A typical cryptochrome consists of a conserved photolyase homology …

Systematic exploration of protein conformational space using a distance geometry approach

TE Malliavin, A Mucherino, C Lavor… - Journal of Chemical …, 2019 - ACS Publications
The optimization approaches classically used during the determination of protein structure
encounter various difficulties, especially when the size of the conformational space is large …

Incorporating a multiobjective knowledge-based energy function into differential evolution for protein structure prediction

X Chen, S Song, J Ji, Z Tang, Y Todo - Information Sciences, 2020 - Elsevier
Despite the rapid development of computer techniques and the unremitting efforts of
researchers, the protein structure prediction (PSP) problem remains challenging in …

Solvent Accessibility Promotes Rotamer Errors during Protein Modeling with Major Side-Chain Prediction Programs

T Hameduh, M Mokry, AD Miller, Z Heger… - Journal of Chemical …, 2023 - ACS Publications
Side-chain rotamer prediction is one of the most critical late stages in protein 3D structure
building. Highly advanced and specialized algorithms (eg, FASPR, RASP, SCWRL4, and …

Revisiting the “satisfaction of spatial restraints” approach of MODELLER for protein homology modeling

G Janson, A Grottesi, M Pietrosanto… - PLoS Computational …, 2019 - journals.plos.org
The most frequently used approach for protein structure prediction is currently homology
modeling. The 3D model building phase of this methodology is critical for obtaining an …