About: Numerical comparisons of three recently proposed algorithms in the protein folding problem

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scholarly article by Ulrich H. E. Hansmann & Yuko Okamoto published May 1997 in Journal of Computational Chemistry

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття, опублікована в травні 1997 (uk) im Mai 1997 veröffentlichter wissenschaftlicher Artikel (de) scholarly article by Ulrich H. E. Hansmann & Yuko Okamoto published May 1997 in Journal of Computational Chemistry (en)
publication date	wds:Q57906307-E66BB277-0EB4-4BD5-AC05-F70BE290A7CF
publication date	1997-05-01 00:00:00Z (xsd:dateTime)
author name string	wds:Q57906307-246C4383-698F-4694-8BF5-42BBA55749BA wds:Q57906307-FC11EDE1-6AB0-476D-9010-75C7DF793C6B
author name string	Yuko Okamoto Ulrich H. E. Hansmann
rdfs:label	Numerical comparisons of three recently proposed algorithms in the protein folding problem (en) Numerical comparisons of three recently proposed algorithms in the protein folding problem (nl)
skos:prefLabel	Numerical comparisons of three recently proposed algorithms in the protein folding problem (en) Numerical comparisons of three recently proposed algorithms in the protein folding problem (nl)
name	Numerical comparisons of three recently proposed algorithms in the protein folding problem (en) Numerical comparisons of three recently proposed algorithms in the protein folding problem (nl)
title	wds:Q57906307-9B043A76-1237-4DCE-BE69-4564E448DDC0
title	Numerical comparisons of three recently proposed algorithms in the protein folding problem (en)
page(s)	wds:Q57906307-C5271429-EA4F-436E-B2D4-2603905AAAB7
page(s)	920-933
instance of	wds:Q57906307-12F1BEBD-82EF-4CA6-BF44-F320F5A56632
instance of	scholarly article
main subject	wds:Q57906307-32C3999A-D1B5-4457-BAF4-72FBF80153A8 wds:Q57906307-53C77CA6-1C02-4D5B-90BD-3128051607C9 wds:Q57906307-B69BD155-81EE-4F3B-BDEC-BA4DB0A6AB43 wds:Q57906307-E6249EC7-A615-4DE7-9034-8DB13361CB1C
main subject	computational mathematics algorithm general chemistry protein folding
published in	wds:Q57906307-9D72F497-4EAE-4A6E-A695-24E094744D15
published in	Journal of Computational Chemistry
issue	wds:Q57906307-7D7C0929-DCEA-4D30-A850-F3C8E9FAEEE6
volume	wds:Q57906307-7A05CF6B-ED60-4777-955B-F07F45B7552F
issue	7
volume	18
DOI	wds:Q57906307-F3576CF8-C71E-447B-8E5E-9DD5D3D98916
DOI	http://dx.doi.org/10.1002/(SICI)1096-987X(199705)18:7%3C920::AID-JCC5%3E3.0.CO;2-T
DOI	10.1002/(SICI)1096-987X(199705)18:7<920::AID-JCC5>3.0.CO;2-T
is owl:sameAs of	Numerical comparisons of three recently proposed algorithms in the protein folding problem
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q57906307
is cites work of	New Monte Carlo algorithms for protein folding. A minimal physically realistic protein-like lattice model: designing an energy landscape that ensures all-or-none folding to a unique native state Comparison of stochastic optimization methods for all-atom folding of the Trp-Cage protein. Replica-exchange simulated tempering method for simulations of frustrated systems Replica-exchange molecular dynamics method for protein folding Hierarchy of simulation models in predicting molecular recognition mechanisms from the binding energy landscapes: structural analysis of the peptide complexes with SH2 domains. Multicanonical parallel simulations of proteins with continuous potentials Three-helix-bundle protein in a Ramachandran model The folding funnel landscape for the peptide Met-enkephalin. Energy landscape of a peptide consisting of alpha-helix, 3(10)-helix, beta-turn, beta-hairpin, and other disordered conformations Generalized-ensemble Monte Carlo method for systems with rough energy landscape Characteristic temperatures of folding of a small peptide [SMMP] A modern package for simulation of proteins Solvent effects on conformational stability of peptides: RISM analyses Finite-size scaling of helix–coil transitions in poly-alanine studied by multicanonical simulations Parallel simulated tempering dynamics of ligand–protein binding with ensembles of protein conformations Generalized-ensemble simulations of spin systems and protein systems Protein folding simulations and structure predictions Stochastic dynamics simulations in a new generalized ensemble Atomistic Peptide Folding Simulations Reveal Interplay of Entropy and Long-Range Interactions in Folding Cooperativity Compact phases of polymers with hydrogen bonding Towards the prediction of protein tertiary structures from first principles Ways and Means to Enhance the Configurational Sampling of Small Peptides in Aqueous Solution in Molecular Dynamics Simulations Improved Wang-Landau sampling through the use of smoothed potential-energy surfaces
is cites work of	wds:Q57906210-837547AA-77DB-44BA-9668-2B4F22960673 wds:Q57906260-BBC53FE5-7E36-4E6F-9256-E6562919DFD3 wds:Q57906304-4E97AD20-5CC4-4539-9D18-E2BFA3310625 wds:Q57906183-D4FF05B7-21AC-4A43-BDA4-486640D355D0 wds:Q57906198-07877AE2-0814-445C-8E78-AE5824A72668 wds:Q57906244-A5D28740-D19E-4CA5-A110-ED03695E1B3E wds:Q30352109-BA231D38-5A3C-4E57-8298-83DB46627893 wds:Q58429998-BAA2E921-BEE1-4BD4-B048-351C4FAEF4F4 wds:Q33632631-03FF7640-9E85-491D-B3BE-9E3B86E0570C wds:Q36591460-42585EBE-C611-41EA-B596-CA01C93F08F8 wds:Q55879366-0A5BE71A-CD79-4F36-9852-9C85BFB9E6A0 wds:Q57906291-088F473C-5FDD-4A7A-9496-A7F9C2133456 wds:Q48629238-73B1A457-E464-468E-B691-D8CD8FC4A19B wds:Q57271320-1E9FB307-7A79-4E86-A2CB-E6CA521359D9 wds:Q22061727-AE5BB37B-DFC9-4A3F-B513-1C4FBE57931F wds:Q43825571-57196045-DC23-4450-A652-9485EE4D9DB5 wds:Q58429966-979FC7AB-873C-4A23-9B40-ECF5E2E37E4F wds:Q58747518-4B5576B0-808B-4A9B-BE87-3BB9131BE4DC wds:Q73126175-6DBBB57E-4051-4A17-BF1B-ACDC70CCA206 wds:Q35569643-4C2B420C-E277-4FCA-A836-A65776CB52A6 wds:Q57906297-7EFD77E9-F0F6-4783-8D39-3DE7D1E532A2 wds:Q83286189-B7B6E7B1-50D2-4D3C-B022-2C669CC0E99D wds:Q30164862-7011F792-BB6A-4B25-8BE4-636D95B90DA1 wds:Q57975315-B478B6C4-CA55-469B-A2F3-FD6F9E088D8C

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