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New Views of Allostery

This special issue will cover recent advances in the modeling and understanding of allostery, the structural and dynamical coupling between distant sites of a biological macromolecule. While this topic has a long history, the past decade has seen revolutionary changes in our understanding of the scope and nature of allosteric interactions. This special issue would include new theoretical models of allostery addressing how local deformation in the floppy and disordered mechanical network coordinates to create long-range coupled response and functionality of the system, and computational methods for the identification and mapping of allosteric networks, as well as novel experimental approaches to study allosteric mechanisms, including time-resolved and single-molecule studies. The special issue will also involve, for example, approaches to engineering allosteric regulation to enhance function and facilitate the design of sensors and drugs, allostery and the function of molecular machines (natural and synthetic) and protein complexes (conformational spread), the design of synthetic chemical networks that use allostery in feedback mechanisms, directed evolution of allostery employing enhanced sampling, Markov state models and machine-learning. This special issue will explore the most recent advances in elucidating the molecular mechanisms underlying allostery as well as a broad range of applications involving molecular systems.

Guest Editors: Qiang Cui, Peter Hamm, Gilad Haran, Changbong Hyeon, with JCP Editors John Straub, Emily Weiss, and David Reichman.

Special Collection Image
Federica Maschietto; Brandon Allen; Gregory W. Kyro; Victor S. Batista
10.1063/5.0140453
Kirill A. Konovalov; Cheng-Guo Wu; Yunrui Qiu; Vijaya Kumar Balakrishnan; Pankaj Singh Parihar; Michael S. O’Connor; Yongna Xing; Xuhui Huang
10.1063/5.0150272
Mauro L. Mugnai; D. Thirumalai
10.1063/5.0137654
Perla Cruz; Nicolás Paredes; Isabel Asela; Narendar Kolimi; José Alejandro Molina; César A. Ramírez-Sarmiento; Rajen Goutam; Gangton Huang; Exequiel Medina; Hugo Sanabria
10.1063/5.0138782
Riccardo Aguti; Mattia Bernetti; Stefano Bosio; Sergio Decherchi; Andrea Cavalli
10.1063/5.0145364
Rory M. Crean; Joanna S. G. Slusky; Peter M. Kasson; Shina Caroline Lynn Kamerlin
10.1063/5.0140882
Praveen Ranganath Prabhakar; Dhiman Ray; Ioan Andricioaei
10.1063/5.0140113
Enrico Guarnera; Igor N. Berezovsky
10.1063/5.0139848
Wenjun Zheng
10.1063/5.0141630
Haydar Taylan Turan; Eric Boittier; Markus Meuwly
10.1063/5.0124502
Bryan VanSchouwen; Leonardo Della Libera; Giuseppe Melacini
10.1063/5.0139510
Maria S. Kelly; Amanda C. Macke; Shehani Kahawatte; Jacob E. Stump; Abigail R. Miller; Ruxandra I. Dima
10.1063/5.0139273
Ashan Dayananda; T. S. Hayden Dennison; Hewafonsekage Yasan Y. Fonseka; Mohammad S. Avestan; Qi Wang; Riina Tehver; George Stan
10.1063/5.0139184
Shingo Ito; Kiyoshi Yagi; Yuji Sugita
10.1063/5.0134117
Juan Xie; Gaoxiang Pan; Yibo Li; Luhua Lai
10.1063/5.0138279
Souvik Dey; Huan-Xiang Zhou
10.1063/5.0137908
Philipp J. Heckmeier; Jeannette Ruf; Brankica G. Janković; Peter Hamm
10.1063/5.0137239
Riya Samanta; Neel Sanghvi; Dorothy Beckett; Silvina Matysiak
10.1063/5.0136010
Goksin Liu; Erhan Ekmen; Farzaneh Jalalypour; Haydyn D. T. Mertens; Cy M. Jeffries; Dmitri Svergun; Ali Rana Atilgan; Canan Atilgan; Zehra Sayers
10.1063/5.0136558
Lalima K. Madan; Colin L. Welsh; Alexandr P. Kornev; Susan S. Taylor
10.1063/5.0138175
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