about
Protein-DNA binding specificity predictions with structural modelsDecoding complex chemical mixtures with a physical model of a sensor arrayCorrelated electrostatic mutations provide a reservoir of stability in HIV proteaseAnalysis of anisotropic side-chain packing in proteins and application to high-resolution structure prediction.Connecting protein structure with predictions of regulatory sites.Structure, Stiffness and Substates of the Dickerson-Drew Dodecamer.Statistical mechanical modeling of genome-wide transcription factor occupancy data by MatrixREDUCE.Pairwise and higher-order correlations among drug-resistance mutations in HIV-1 subtype B protease.A dynamic interplay of nucleosome and Msn2 binding regulates kinetics of gene activation and repression following stress.High-throughput sequencing reveals a simple model of nucleosome energetics.Global remodeling of nucleosome positions in C. elegans.Chromatin remodelers clear nucleosomes from intrinsically unfavorable sites to establish nucleosome-depleted regions at promoters.Protein folding and binding can emerge as evolutionary spandrels through structural coupling.Functional roles of nucleosome stability and dynamics.Statistical mechanics of nucleosome ordering by chromatin-structure-induced two-body interactionsPath statistics, memory, and coarse-graining of continuous-time random walks on networks.A Biophysical Approach to Predicting Protein-DNA Binding EnergeticsGenome-wide profiling of nucleosome sensitivity and chromatin accessibility in Drosophila melanogaster.A universal scaling law determines time reversibility and steady state of substitutions under selection.Noise and interlocking signaling pathways promote distinct transcription factor dynamics in response to different stresses.Chromatin-dependent transcription factor accessibility rather than nucleosome remodeling predominates during global transcriptional restructuring in Saccharomyces cerevisiaeUsing DNA mechanics to predict in vitro nucleosome positions and formation energies.Ubiquitous nucleosome crowding in the yeast genome.Genomic studies and computational predictions of nucleosome positions and formation energies.Generalization of the Ewens sampling formula to arbitrary fitness landscapes.Path-based approach to random walks on networks characterizes how proteins evolve new functions.Single temperature for Monte Carlo optimization on complex landscapes.Electron density redistribution accounts for half the cooperativity of alpha helix formation.Scaling properties of evolutionary paths in a biophysical model of protein adaptation
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P50
description
researcher
@en
wetenschapper
@nl
հետազոտող
@hy
name
Alexandre V Morozov
@ast
Alexandre V Morozov
@en
Alexandre V Morozov
@es
Alexandre V Morozov
@nl
Alexandre V Morozov
@sl
type
label
Alexandre V Morozov
@ast
Alexandre V Morozov
@en
Alexandre V Morozov
@es
Alexandre V Morozov
@nl
Alexandre V Morozov
@sl
prefLabel
Alexandre V Morozov
@ast
Alexandre V Morozov
@en
Alexandre V Morozov
@es
Alexandre V Morozov
@nl
Alexandre V Morozov
@sl
P106
P31
P496
0000-0003-2598-7000