No abstract is provided for this article.
No abstract is provided for this article.
The semi-empirical molecular orbital method MINDO/3 is used to investigate the potential energy surface for the H2 and H2O elimination reactions of protonated methanol. The energy profiles for these reactions are prototypical of the rearrangement and simple bond cleavage types. The calculated surface for the reaction CH3OH2 + → CH3 + + H2O accurately reproduces the experimental thermochemistry. The reaction has no reverse activation energy and the kinetic energy release increases with increasing energy in the activated complex, being larger for collision-induced dissociations than for ions undergoing metastable reactions. The calculated energy surface for H2 loss differs significantly from experiment. However, both experimental and calculated results show a large reverse activation energy, a substantial fraction of which appears as kinetic energy release. This energy partitioning pattern is considered in terms of orbital symmetry arguments but is accounted for in terms of the calculated transition state geometry which includes an H2 moiety with a bond length close to its equilibrium bond length leaving orthogonal to the (shortening) CO bond. The kinetic energy release decreases on increasing the internal energy of the ion, as shown when collision-induced dissociations are compared to those of metastable ions. This is suggested to result from the loosening of the activated complex with less effective partitioning of the reverse activation energy into translational energy. Other examples of this phenomenon are presented.
Nonbonded and torsional parameters for carboxylate esters, nitriles, and nitro compounds have been developed for the OPLS‐AA force field. In addition, torsional parameters for alkanes have been updated. These parameters were fit to reproduce ab initio gas‐phase structures and conformational energetics, experimental condensed‐phase structural and thermodynamic properties, and experimental free energies of hydration. The computed densities, heats of vaporization, and heat capacities for fifteen liquids are in excellent agreement with experimental values. The new parameters permit accurate molecular modeling of compounds containing a wider variety of functional groups, which are common in organic molecules and drugs. © 2001 John Wiley & Sons, Inc. J Comput Chem 22: 1340–1352, 2001
Classical Monte Carlo simulations have been carried out for liquid water in the NPT ensemble at 25 °C and 1 atm using six of the simpler intermolecular potential functions for the water dimer: Bernal–Fowler (BF), SPC, ST2, TIPS2, TIP3P, and TIP4P. Comparisons are made with experimental thermodynamic and structural data including the recent neutron diffraction results of Thiessen and Narten. The computed densities and potential energies are in reasonable accord with experiment except for the original BF model, which yields an 18% overestimate of the density and poor structural results. The TIPS2 and TIP4P potentials yield oxygen–oxygen partial structure functions in good agreement with the neutron diffraction results. The accord with the experimental OH and HH partial structure functions is poorer; however, the computed results for these functions are similar for all the potential functions. Consequently, the discrepancy may be due to the correction terms needed in processing the neutron data or to an effect uniformly neglected in the computations. Comparisons are also made for self-diffusion coefficients obtained from molecular dynamics simulations. Overall, the SPC, ST2, TIPS2, and TIP4P models give reasonable structural and thermodynamic descriptions of liquid water and they should be useful in simulations of aqueous solutions. The simplicity of the SPC, TIPS2, and TIP4P functions is also attractive from a computational standpoint.
Monte Carlo (MC) statistical mechanics simulations have been carried out for more than 200 organic solutes, including 125 drugs and related heterocycles, in aqueous solution. The calculations were highly automated and used the OPLS-AA force field augmented with CM1P partial charges. Configurationally averaged results were obtained for a variety of physically significant quantities including the solute−water Coulomb and Lennard-Jones interaction energies, solvent-accessible surface area (SASA), and numbers of donor and acceptor hydrogen bonds. Correlations were then obtained between these descriptors and gas to liquid free energies of solvation in hexadecane, octanol, and water and octanol/water partition coefficients. Linear regressions with three or four descriptors yielded fits with correlation coefficients, r2, of 0.9 in all cases. The regression equation for log P(octanol/water) only needs four descriptors to provide an rms error of 0.55 for 200 diverse compounds, which is competitive with the best fragment methods. For water, the expanded data set of 85 solutes and improved statistical analyses bring into question the significance of the Lennard-Jones and surface area terms that have been featured in prior linear-response treatments. The results are sensitive to the choice of partial charges for the solute atoms; poor representation of some functional groups can lead to the need for specific corrections in the regression equations. This is expected to also be true for force-field-based scoring functions for protein−ligand binding. In all cases, the present descriptors that emerge as most significant sensibly reveal the key physical factors that control solvation, especially solute size in organic solvents and electrostatic interactions in water. Furthermore, additional MC simulations for solutes in both water and ethanol clearly demonstrate that the key differential between water and alcohols is the greater hydrogen-bond-donating ability of water, which explains the significance of a solute's hydrogen-bond-accepting ability for log P(octanol/water).
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTComputer-assisted mechanistic evaluation of organic reactions. 4. Organosilicon chemistryCatherine E. Peishoff and William L. JorgensenCite this: J. Org. Chem. 1983, 48, 12, 1970–1979Publication Date (Print):June 1, 1983Publication History Published online1 May 2002Published inissue 1 June 1983https://doi.org/10.1021/jo00160a006RIGHTS & PERMISSIONSArticle Views281Altmetric-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 InReddit PDF (1 MB) Get e-Alerts Get e-Alerts
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTEnergy profile for a nonconcerted SN2 reaction in solutionJayaraman Chandrasekhar and William L. JorgensenCite this: J. Am. Chem. Soc. 1985, 107, 10, 2974–2975Publication Date (Print):May 1, 1985Publication History Published online1 May 2002Published inissue 1 May 1985https://pubs.acs.org/doi/10.1021/ja00296a024https://doi.org/10.1021/ja00296a024research-articleACS PublicationsRequest reuse permissionsArticle Views789Altmetric-Citations141LEARN 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
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTComputer Assisted Mechanistic Evaluation of Organic Reactions. 23. Dissolving Metal Reductions with Lithium in Liquid Ammonia Including the Birch ReductionShenna Sinclair and William L. JorgensenCite this: J. Org. Chem. 1994, 59, 4, 762–772Publication Date (Print):February 1, 1994Publication History Published online1 May 2002Published inissue 1 February 1994https://pubs.acs.org/doi/10.1021/jo00083a017https://doi.org/10.1021/jo00083a017research-articleACS PublicationsRequest reuse permissionsArticle Views441Altmetric-Citations8LEARN 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
No abstract is provided for this article.
No abstract is provided for this article.