Building Quantitative Bridges between Dynamics and Sequences of SARS-CoV-2 Main Protease and a Diverse Set of Thirty-Two Proteins DOI
Ahmet Yildirim, Mustafa Tekpinar

Journal of Chemical Information and Modeling, Journal Year: 2022, Volume and Issue: 63(1), P. 9 - 19

Published: Dec. 13, 2022

Proteases are major drug targets for many viral diseases. However, mutations can render several antiprotease drugs inefficient rapidly even though these may not alter protein structures significantly. Understanding relations between quickly mutating residues, protease structures, and the dynamics of proteases is crucial designing potent drugs. Due to this reason, we studied evolutionary information on residues in amino acid sequences SARS-CoV-2 main protease. More precisely, analyzed three dynamical quantities (Schlitter entropy, root-mean-square fluctuations, flexibility index) their relation conservation extracted from multiple sequence alignments We showed that a quantifiable similarity be built sequence-based quantity called Jensen–Shannon those quantities. validated diverse set 32 different proteins, other than believe establishing kinds quantitative bridges will have larger implications all as well proteins.

Language: Английский

Impact of African-Specific ACE2 Polymorphisms on Omicron BA.4/5 RBD Binding and Allosteric Communication Within the ACE2–RBD Protein Complex DOI Open Access
Victor Barozi, Özlem Taştan Bishop

International Journal of Molecular Sciences, Journal Year: 2025, Volume and Issue: 26(3), P. 1367 - 1367

Published: Feb. 6, 2025

Severe acute respiratory symptom coronavirus 2 (SARS-CoV-2) infection occurs via the attachment of spike (S) protein’s receptor binding domain (RBD) to human ACE2 (hACE2). Natural polymorphisms in hACE2, particularly at interface, may alter RBD–hACE2 interactions, potentially affecting viral infectivity across populations. This study identified effects six naturally occurring hACE2 with high allele frequency African population (S19P, K26R, M82I, K341R, N546D and D597Q) on interaction S protein RBD BA.4/5 Omicron sub-lineage through post-molecular dynamics (MD), inter-protein dynamic residue network (DRN) analyses. Inter-protein analysis suggested that K26R variation, highest aligns reports enhanced increased SARS-CoV-2 susceptibility. Conversely, S19P, showing fewest interactions largest distances, agrees studies indicating it hinders binding. The M82I substitution destabilized reducing contact from 92 (WT) 27. K341R variant, located distally, had allosteric contacts compared WThACE2. polymorphism has been linked affinity for Alpha, Beta Delta lineages. DRN analyses revealed networks, especially key residues involved enzyme activity Notably, S19P weaken hACE2–RBD while showed reduced centrality zinc chloride-coordinating residues, hinting impaired communication pathways. Overall, our findings show affect stability modulate influencing infectivity—key insights vaccine therapeutic development.

Language: Английский

Citations

2

Green and efficient one-pot three-component synthesis of novel drug-like furo[2,3-d]pyrimidines as potential active site inhibitors and putative allosteric hotspots modulators of both SARS-CoV-2 MPro and PLPro DOI Open Access
Hossein Mousavi, Behzad Zeynizadeh, Mehdi Rimaz

et al.

Bioorganic Chemistry, Journal Year: 2023, Volume and Issue: 135, P. 106390 - 106390

Published: Jan. 28, 2023

Language: Английский

Citations

27

MD simulations indicate Omicron P132H of SARS-CoV-2 Mpro is a potential allosteric mutant involved in modulating the dynamics of catalytic site entry loop DOI
Zahoor Ahmad Bhat,

Mohd Muzammil Khan,

Ayyub Rehman

et al.

International Journal of Biological Macromolecules, Journal Year: 2024, Volume and Issue: 262, P. 130077 - 130077

Published: Feb. 10, 2024

Language: Английский

Citations

7

ASM variants in the spotlight: A structure-based atlas for unraveling pathogenic mechanisms in lysosomal acid sphingomyelinase DOI
Simone Scrima, Matteo Lambrughi, Matteo Tiberti

et al.

Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Journal Year: 2024, Volume and Issue: 1870(7), P. 167260 - 167260

Published: May 21, 2024

Language: Английский

Citations

5

A new view of missense mutations in α‐mannosidosis using molecular dynamics conformational ensembles DOI Creative Commons

Špela Mandl,

Bruno Di Geronimo, Santiago Alonso‐Gil

et al.

Protein Science, Journal Year: 2025, Volume and Issue: 34(4)

Published: March 24, 2025

The mutation of remote positions on enzyme scaffolds and how these residue changes can affect catalysis is still far from being fully understood. One paradigmatic example the group lysosomal storage disorders, where activity a abolished or severely reduced. In this work, we analyze molecular dynamics simulation conformational ensembles to unveil features controlling deleterious effects 43 reported missense mutations in human α-mannosidase. Using descriptors for protein dynamics, their coupling with active site, impact stability, have assigned contribution each into connectivity site. We demonstrate here that use powerful approach not only better understand at level but also revisit disorders order aid treatment diseases.

Language: Английский

Citations

0

Transfer Learning Towards Predicting Viral Missense Mutations: A Case Study on SARS-CoV-2 DOI Creative Commons
S. Govender,

Emily L Morgan,

Rabelani Ramahala

et al.

Computational and Structural Biotechnology Journal, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0

Dynamic Allostery: Evolution’s Double-Edged Sword in Protein Function and Disease DOI
Paul Campitelli, I. Can Kazan, Sean Hamilton

et al.

Journal of Molecular Biology, Journal Year: 2025, Volume and Issue: unknown, P. 169175 - 169175

Published: April 1, 2025

Language: Английский

Citations

0

Multiscale Allostery: Basic Mechanisms and Versatility in Diagnostics and Drug Design DOI
Igor N. Berezovsky, Ruth Nussinov

Journal of Molecular Biology, Journal Year: 2022, Volume and Issue: 434(17), P. 167751 - 167751

Published: July 18, 2022

Language: Английский

Citations

18

Revealing SARS-CoV-2 Mpro Mutation Cold and Hot Spots: Dynamic Residue Network Analysis Meets Machine Learning DOI Creative Commons
Victor Barozi,

Shrestha Chakraborty,

S. Govender

et al.

Computational and Structural Biotechnology Journal, Journal Year: 2024, Volume and Issue: 23, P. 3800 - 3816

Published: Oct. 23, 2024

Language: Английский

Citations

3

Advances in structure-based allosteric drug design DOI
Rui Li, Xinheng He, Chengwei Wu

et al.

Current Opinion in Structural Biology, Journal Year: 2024, Volume and Issue: 90, P. 102974 - 102974

Published: Dec. 29, 2024

Language: Английский

Citations

2