ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTChemical chameleons: hydrogen bonding with imides and lactams in chloroformWilliam L. Jorgensen and Daniel L. SeveranceCite this: J. Am. Chem. Soc. 1991, 113, 1, 209–216Publication Date (Print):January 1, 1991Publication History Published online1 May 2002Published inissue 1 January 1991https://pubs.acs.org/doi/10.1021/ja00001a030https://doi.org/10.1021/ja00001a030research-articleACS PublicationsRequest reuse permissionsArticle Views431Altmetric-Citations78LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
An overview is provided of the capabilities for the current versions of the BOSS and MCPRO programs for molecular modeling of organic and biomolecular systems. Recent applications are noted, particularly for QM/MM studies of organic and enzymatic reactions and for protein-ligand binding.
No abstract is provided for this article.
Monte Carlo/Extended Linear Response (MC/ELR) simulations have been conducted on 60 inhibitors of human factor Xa to determine the important interactions associated with their activity. A variety of physicochemical descriptors were configurationally averaged during the course of the simulations of each inhibitor bound to factor Xa and free in water. A regression equation was then derived; it reproduces the experimental inhibition data with a correlation coefficient, r2, of 0.74, an rms error of 0.67 kcal/mol, and an average unsigned error of 0.60 kcal/mol using only two physically reasonable descriptors. The two factors that emerged as important in determining inhibitory potential are (1) favorable van der Waals interactions between protein and ligand and (2) direct hydrogen bonding between the inhibitor and protein. The conclusions were supported with structural analyses and results of MC/free energy perturbation (FEP) calculations.
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTAb initio study of the structures and binding energies of aluminum monocation complexesScott F. Smith, Jayaraman Chandrasekhar, and William L. JorgensenCite this: J. Phys. Chem. 1983, 87, 11, 1898–1902Publication Date (Print):May 1, 1983Publication History Published online1 May 2002Published inissue 1 May 1983https://pubs.acs.org/doi/10.1021/j100234a014https://doi.org/10.1021/j100234a014research-articleACS PublicationsRequest reuse permissionsArticle Views85Altmetric-Citations21LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access options Get e-Alerts
M. P. Repasky and W. L. Jorgensen, Faraday Discuss., 1998, 110, 379 DOI: 10.1039/A802427H
Recent advances in the computation of free energies have facilitated the understanding of host-guest and protein-ligand recognition. Rigorous perturbation methods have been assessed and expanded, and more approximate techniques have been developed that allow faster treatment of diverse systems.
Non-nucleoside inhibitors of HIV-1 reverse transcriptase (NNRTIs), which bind to an allosteric site 10–15 Å from the polymerase active site, play a central role in anti-HIV chemotherapy. Though NNRTIs have been known for 30 years, the pathways by which they bind and unbind from HIV-RT have not been characterized. In crystal structures for complexes, three channels are found to extend from the NNRTI binding site to the exterior of the protein, while added mystery comes from the fact that the binding site is collapsed in the unliganded protein. To address this issue, metadynamics simulations have been performed to elucidate the unbinding of four NNRTIs from HIV-RT. A general and transferable collective variable defined by the distance between the center-of-mass (COM) of the binding pocket and COM of the ligand is used to follow the dynamics while minimizing the bias. The metadynamics also allows computation of the barriers to unbinding, which are compared with the observed potencies of the compounds in an antiviral assay.
No abstract is provided for this article.
An efficient concerted rotation algorithm for use in Monte Carlo statistical mechanics simulations is applied to fold three polypeptides, U(1−17)T9D, α1, and trpzip2, which exhibit native β-hairpin and α-helix folds. The method includes flexible bond and dihedral angles, and a Gaussian bias is applied with driver bond and dihedral angles to optimize the sampling efficiency. Solvation in water is implemented with the generalized Born (GBSA) model. The computed lowest-energy manifolds for the folded structures of the two β-hairpins agree closely with the corresponding NMR structures. In the case of the α1 peptide, the folded α-helical state, which is observed as oligomers in concentrated solution and crystals, is not stable in isolation. The computed preference for random coil structures is in agreement with NMR experiments at low concentration. The fact that native states can be located on high dimensional energy surfaces starting from extended conformations shows that the present methodology samples all relevant parts of the conformational space. The OPLS-AA force field with the GBSA solvent model was also found to perform well in leading to clear energetic separation of the correctly folded structures from misfolded structures for the two peptides that form β-turns.
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTComputer-assisted mechanistic evaluation of organic reactions. 15. Heterocycle synthesisMark G. Bures and William L. JorgensenCite this: J. Org. Chem. 1988, 53, 11, 2504–2520Publication Date (Print):May 1, 1988Publication History Published online1 May 2002Published inissue 1 May 1988https://pubs.acs.org/doi/10.1021/jo00246a020https://doi.org/10.1021/jo00246a020research-articleACS PublicationsRequest reuse permissionsArticle Views174Altmetric-Citations13LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
