The role of conformational dynamics and allostery in modulating protein evolution

P Campitelli, T Modi, S Kumar… - Annual review of …, 2020 - annualreviews.org
Advances in sequencing techniques and statistical methods have made it possible not only
to predict sequences of ancestral proteins but also to identify thousands of mutations in the …

Rational design of allosteric modulators: Challenges and successes

A Chatzigoulas, Z Cournia - Wiley Interdisciplinary Reviews …, 2021 - Wiley Online Library
Recent advances in structural biology and computational techniques have revealed
allosteric mechanisms for an abundance of targets leading to the establishment of rational …

ScanNet: an interpretable geometric deep learning model for structure-based protein binding site prediction

J Tubiana, D Schneidman-Duhovny, HJ Wolfson - Nature Methods, 2022 - nature.com
Predicting the functional sites of a protein from its structure, such as the binding sites of small
molecules, other proteins or antibodies, sheds light on its function in vivo. Currently, two …

[HTML][HTML] Machine learning approaches in predicting allosteric sites

F Nerín-Fonz, Z Cournia - Current Opinion in Structural Biology, 2024 - Elsevier
Allosteric regulation is a fundamental biological mechanism that can control critical cellular
processes via allosteric modulator binding to protein distal functional sites. The advantages …

[HTML][HTML] Essential site scanning analysis: A new approach for detecting sites that modulate the dispersion of protein global motions

BT Kaynak, I Bahar, P Doruker - Computational and Structural …, 2020 - Elsevier
Despite the wealth of methods developed for exploring the molecular basis of allostery in
biomolecular systems, there is still a need for structure-based predictive tools that can …

Predicting allosteric pockets in protein biological assemblages

A Kumar, BT Kaynak, KS Dorman, P Doruker… - …, 2023 - academic.oup.com
Motivation Allostery enables changes to the dynamic behavior of a protein at distant
positions induced by binding. Here, we present APOP, a new allosteric pocket prediction …

From deep mutational mapping of allosteric protein landscapes to deep learning of allostery and hidden allosteric sites: zooming in on “allosteric intersection” of …

G Verkhivker, M Alshahrani, G Gupta, S Xiao… - International Journal of …, 2023 - mdpi.com
The recent advances in artificial intelligence (AI) and machine learning have driven the
design of new expert systems and automated workflows that are able to model complex …

Dynamics of post-translational modification inspires drug design in the kinase family

H Zhang, J He, G Hu, F Zhu, H Jiang… - Journal of Medicinal …, 2021 - ACS Publications
Post-translational modification (PTM) on protein plays important roles in the regulation of
cellular function and disease pathogenesis. The systematic analysis of PTM dynamics …

Modeling electrostatic force in protein-protein recognition

HBM Shashikala, A Chakravorty… - Frontiers in Molecular …, 2019 - frontiersin.org
Electrostatic interactions are important for understanding molecular interactions, since they
are long-range interactions and can guide binding partners to their correct binding positions …

Calculation of centralities in protein kinase A

AP Kornev, PC Aoto, SS Taylor - Proceedings of the …, 2022 - National Acad Sciences
Topological analysis of protein residue networks (PRNs) is a common method that can help
to understand the roles of individual residues. Here, we used protein kinase A as a study …