P463
about
Potentials of mean force for protein structure prediction vindicated, formalized and generalizedAncient biomolecules from deep ice cores reveal a forested southern GreenlandA generative, probabilistic model of local protein structureFull cyclic coordinate descent: solving the protein loop closure problem in Calpha spaceProtein structure validation and refinement using amide proton chemical shifts derived from quantum mechanicsFast phylogenetic DNA barcodingFormulation of probabilistic models of protein structure in atomic detail using the reference ratio method.Equilibrium simulations of proteins using molecular fragment replacement and NMR chemical shifts.Comparing molecular dynamics force fields in the essential subspace.Beyond rotamers: a generative, probabilistic model of side chains in proteins.Generative probabilistic models extend the scope of inferential structure determination.PHAISTOS: a framework for Markov chain Monte Carlo simulation and inference of protein structure.Inference of structure ensembles of flexible biomolecules from sparse, averaged dataBayesian inference of protein ensembles from SAXS data.Conformational and aggregation properties of the 1-93 fragment of apolipoprotein A-I.Combining experiments and simulations using the maximum entropy principle.ENCORE: Software for Quantitative Ensemble Comparison.A Monte Carlo Study of the Early Steps of Functional Amyloid FormationRapid expansion of the protein disulfide isomerase gene family facilitates the folding of venom peptides.Bioinformatics analysis identifies several intrinsically disordered human E3 ubiquitin-protein ligases.Structure of the Bacterial Cytoskeleton Protein Bactofilin by NMR Chemical Shifts and Sequence Variation.Probabilistic Determination of Native State Ensembles of Proteins.Robust Estimation of Diffusion-Optimized Ensembles for Enhanced Sampling.A sticky cage can slow down folding.Statistical assignment of DNA sequences using Bayesian phylogenetics.Fast large-scale clustering of protein structures using Gauss integrals.Driving Structural Transitions in Molecular Simulations Using the Nonequilibrium Candidate Monte Carlo.An efficient null model for conformational fluctuations in proteins.Subtle Monte Carlo Updates in Dense Molecular Systems.Structure of a Functional Amyloid Protein Subunit Computed Using Sequence VariationRandom coil chemical shifts for serine, threonine and tyrosine phosphorylation over a broad pH rangeIDDomainSpotter: Compositional bias reveals domains in long disordered protein regions-Insights from transcription factorsMonte Carlo Sampling of Protein Folding by Combining an All-Atom Physics-Based Model with a Native State BiasThe PCNA interaction motifs revisited: thinking outside the PIP-boxBarnaba: software for analysis of nucleic acid structures and trajectories
P50
Q21562146-220B6623-30CE-4CA1-A6A3-C439C6B84F3CQ24647596-899CBD6F-B9B2-4197-AFC6-0E269085A99FQ24650447-4D61A3D1-E712-477C-92FE-1BFFB2BE801BQ24816013-97F17983-6364-4705-B301-6587BD3A859CQ28538174-C65C872C-D558-4CBD-9D60-B14848970A86Q28756036-934A5536-9849-4E39-A26A-9A5F2AA574A4Q30352752-7AA1DF6E-44CA-4814-A4B1-3AF78FD7F2DBQ30366493-31A6741A-8EA5-4326-A75F-2F6FBCF23A98Q30373070-5C60E7A1-BCAF-4E4B-96C6-52998CFCDCF3Q30390027-A4B744D8-92DE-4094-92B0-565801551DC2Q30408069-C8E61EF9-F795-4483-8787-02BF64FB923CQ30429807-1D49C50E-1D81-4A83-BA7C-66F8F60F3298Q30697040-3B4249D1-E0BC-486E-99F8-81CA1874B834Q31019690-8D1DEF8F-985A-41E1-94B3-50DA988139D5Q34559652-D70839F3-8B0E-447E-86EF-A58EBF1F227AQ35105556-1CD58437-34ED-40F3-9F4B-23A91361E9B9Q35822716-C73F21E0-6296-4CA0-BDA2-8045CCF2B016Q35888616-3EB07F2E-1B66-4D9B-B086-94D26F44F307Q36742724-8EBC48BD-A547-42FE-83FD-BE2E3C543B68Q38842180-643238FD-2D1F-4FAB-904F-F6B619CDD9D6Q38856362-39EB3D58-4A8A-4471-8743-A4332D655B6CQ40297131-3312F826-F6DD-460B-AF53-4754B943D912Q40308757-E3C56A58-D77C-446D-8E3A-154085B7D56EQ42779750-D93FA272-CE9C-46C1-B265-52F28D87DD86Q43975746-F1FD83A8-850F-4304-9D35-5E92B74AE39EQ48020936-8FA64E6F-1F2D-4671-9DCB-C71C465D4A6EQ48045925-3368ED36-969B-4040-96D1-40A8CD02FF55Q51369426-D609D78F-A33E-4B07-82D6-6DFF5671DFAFQ51425934-CABC6CEF-AFA4-4524-92AA-B30751FED96FQ57976845-C2357493-CEB3-407E-9C17-23264F98ECD6Q90622557-25A1F283-C6F7-4EBE-A2B1-3B5F12BBC03EQ90896423-61EB6528-1D0B-4DC5-825A-CECBFA65ACD0Q91124853-C8B98A98-3251-4753-8014-08DD3FD7CD12Q92328617-D9C66BEE-6918-4FC7-8757-36D95D1F26B2Q93016102-70F435FD-24BB-4539-AC20-D893BD64A512
P50
description
hulumtues
@sq
onderzoeker
@nl
researcher
@en
հետազոտող
@hy
name
Wouter Boomsma
@ast
Wouter Boomsma
@en
Wouter Boomsma
@es
Wouter Boomsma
@nl
Wouter Boomsma
@sl
type
label
Wouter Boomsma
@ast
Wouter Boomsma
@en
Wouter Boomsma
@es
Wouter Boomsma
@nl
Wouter Boomsma
@sl
prefLabel
Wouter Boomsma
@ast
Wouter Boomsma
@en
Wouter Boomsma
@es
Wouter Boomsma
@nl
Wouter Boomsma
@sl
P1053
K-2903-2014
P106
P1556
boomsma.wouter
P21
P31
P3829
P463
P496
0000-0002-8257-3827