Vote for your favorite mineral in #MinCup25! - Kosmochlor vs. Azurite
It's a battle of green vs blue as rare but vibrant chromium-bearing kosmochlor up against the deep blue copper alteration mineral azurite.
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Formaneck, Mark S., Cui, Qiang (2006) The use of a generalized born model for the analysis of protein conformational transitions: A comparative study with explicit solvent simulations for chemotaxis Y protein (CheY). Journal of Computational Chemistry, 27 (16). 1923-1943 doi:10.1002/jcc.20489

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleThe use of a generalized born model for the analysis of protein conformational transitions: A comparative study with explicit solvent simulations for chemotaxis Y protein (CheY)
JournalJournal of Computational Chemistry
AuthorsFormaneck, Mark S.Author
Cui, QiangAuthor
Year2006 (December)Volume27
Issue16
PublisherWiley
DOIdoi:10.1002/jcc.20489Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID3148623Long-form Identifiermindat:1:5:3148623:5
GUID0
Full ReferenceFormaneck, Mark S., Cui, Qiang (2006) The use of a generalized born model for the analysis of protein conformational transitions: A comparative study with explicit solvent simulations for chemotaxis Y protein (CheY). Journal of Computational Chemistry, 27 (16). 1923-1943 doi:10.1002/jcc.20489
Plain TextFormaneck, Mark S., Cui, Qiang (2006) The use of a generalized born model for the analysis of protein conformational transitions: A comparative study with explicit solvent simulations for chemotaxis Y protein (CheY). Journal of Computational Chemistry, 27 (16). 1923-1943 doi:10.1002/jcc.20489
In(2006, December) Journal of Computational Chemistry Vol. 27 (16) Wiley

See Also

These are possibly similar items as determined by title/reference text matching only.

Zhang, Linda Yu, Gallicchio, Emilio, Friesner, Richard A., Levy, Ronald M. (2001) Solvent models for protein-ligand binding: Comparison of implicit solvent poisson and surface generalized born models with explicit solvent simulations. Journal of Computational Chemistry, 22 (6). 591-607 doi:10.1002/jcc.1031
Sun, Yu, Latour, Robert A. (2006) Comparison of implicit solvent models for the simulation of protein–surface interactions. Journal of Computational Chemistry, 27 (16). 1908-1922 doi:10.1002/jcc.20488
Lee, Michael S., Salsbury, Freddie R., Olson, Mark A. (2004) An efficient hybrid explicit/implicit solvent method for biomolecular simulations. Journal of Computational Chemistry, 25 (16). 1967-1978 doi:10.1002/jcc.20119
Lee, Kuo Hao, Chen, Jianhan (2017) Optimization of the GBMV2 implicit solvent force field for accurate simulation of protein conformational equilibria. Journal of Computational Chemistry, 38 (16). 1332-1341 doi:10.1002/jcc.24734
Page, Christopher S., Bates, Paul A. (2006) Can MM-PBSA calculations predict the specificities of protein kinase inhibitors?. Journal of Computational Chemistry, 27 (16). 1990-2007 doi:10.1002/jcc.20534
Wang, Yuhang, Wallace, Jason A., Koenig, Peter H., Shen, Jana K. (2011) Molecular dynamics simulations of ionic and nonionic surfactant micelles with a generalized born implicit-solvent model. Journal of Computational Chemistry, 32 (11). 2348-2358 doi:10.1002/jcc.21813
Chocholoušová, Jana, Feig, Michael (2006) Balancing an accurate representation of the molecular surface in generalized born formalisms with integrator stability in molecular dynamics simulations. Journal of Computational Chemistry, 27 (6). 719-729 doi:10.1002/jcc.20387
Brown, Russell A., Case, David A. (2006) Second derivatives in generalized Born theory. Journal of Computational Chemistry, 27 (14). 1662-1675 doi:10.1002/jcc.20479
Fogolari, Federico, Corazza, Alessandra, Esposito, Gennaro (2015) Accuracy assessment of the linear Poisson-Boltzmann equation and reparametrization of the OBC generalized Born model for nucleic acids and nucleic acid-protein complexes. Journal of Computational Chemistry, 36 (9). 585-596 doi:10.1002/jcc.23832
Hassan, Sergio A. (2014) Implicit treatment of solvent dispersion forces in protein simulations. Journal of Computational Chemistry, 35 (22). 1621-1629 doi:10.1002/jcc.23655
Yonezawa, Yasushige (2016) A method for predicting protein conformational pathways by using molecular dynamics simulations guided by difference distance matrices. Journal of Computational Chemistry, 37 (13). 1139-1146 doi:10.1002/jcc.24296
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 9, 2025 06:13:44
Go to top of page