Inverse statistical physics of protein sequences: a key issues review

S Cocco, C Feinauer, M Figliuzzi… - Reports on Progress …, 2018 - iopscience.iop.org
In the course of evolution, proteins undergo important changes in their amino acid
sequences, while their three-dimensional folded structure and their biological function …

Potts Hamiltonian models of protein co-variation, free energy landscapes, and evolutionary fitness

RM Levy, A Haldane, WF Flynn - Current opinion in structural biology, 2017 - Elsevier
Potts Hamiltonian models of protein sequence co-variation are statistical models constructed
from the pair correlations observed in a multiple sequence alignment (MSA) of a protein …

Mechanisms of HIV-1 integrase resistance to dolutegravir and potent inhibition of drug-resistant variants

M Li, D Oliveira Passos, Z Shan, SJ Smith, Q Sun… - Science …, 2023 - science.org
HIV-1 infection depends on the integration of viral DNA into host chromatin. Integration is
mediated by the viral enzyme integrase and is blocked by integrase strand transfer inhibitors …

How pairwise coevolutionary models capture the collective residue variability in proteins?

M Figliuzzi, P Barrat-Charlaix… - Molecular biology and …, 2018 - academic.oup.com
Global coevolutionary models of homologous protein families, as constructed by direct
coupling analysis (DCA), have recently gained popularity in particular due to their capacity …

Redefining the protein kinase conformational space with machine learning

PMU Ung, R Rahman, A Schlessinger - Cell chemical biology, 2018 - cell.com
Protein kinases are dynamic, adopting different conformational states that are critical for their
catalytic activity. We assess a range of structural features derived from the conserved αC …

The generative capacity of probabilistic protein sequence models

F McGee, S Hauri, Q Novinger, S Vucetic… - Nature …, 2021 - nature.com
Potts models and variational autoencoders (VAEs) have recently gained popularity as
generative protein sequence models (GPSMs) to explore fitness landscapes and predict …

Evolutionary divergence in the conformational landscapes of tyrosine vs serine/threonine kinases

J Gizzio, A Thakur, A Haldane, RM Levy - Elife, 2022 - elifesciences.org
Inactive conformations of protein kinase catalytic domains where the DFG motif has a “DFG-
out” orientation and the activation loop is folded present a druggable binding pocket that is …

Tyrosine kinase activation and conformational flexibility: lessons from Src-family tyrosine kinases

Y Meng, MP Pond, B Roux - Accounts of chemical research, 2017 - ACS Publications
Conspectus Protein kinases are enzymes that catalyze the covalent transfer of the γ-
phosphate of an adenosine triphosphate (ATP) molecule onto a tyrosine, serine, threonine …

Predicting the conformational variability of Abl tyrosine kinase using molecular dynamics simulations and Markov state models

Y Meng, C Gao, DK Clawson, S Atwell… - Journal of chemical …, 2018 - ACS Publications
Understanding protein conformational variability remains a challenge in drug discovery. The
issue arises in protein kinases, whose multiple conformational states can affect the binding …

adabmDCA: adaptive Boltzmann machine learning for biological sequences

AP Muntoni, A Pagnani, M Weigt, F Zamponi - BMC bioinformatics, 2021 - Springer
Background Boltzmann machines are energy-based models that have been shown to
provide an accurate statistical description of domains of evolutionary-related protein and …