W. Bennett, D. Tieleman, Daniel M. Zuckerman, R. Pappu, Dominika Zgid
{"title":"Chapter 1 Free Energies of Lipid–Lipid Interactions in Membranes","authors":"W. Bennett, D. Tieleman, Daniel M. Zuckerman, R. Pappu, Dominika Zgid","doi":"10.1016/S1574-1400(09)00501-5","DOIUrl":"https://doi.org/10.1016/S1574-1400(09)00501-5","url":null,"abstract":"","PeriodicalId":88823,"journal":{"name":"Annual reports in computational chemistry","volume":"5 1","pages":"3-21"},"PeriodicalIF":0.0,"publicationDate":"2009-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1574-1400(09)00501-5","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"56635985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Chapter 8 Electron Transfer in Gaseous Positively Charged Peptides — Relation to Mass Spectrometry","authors":"J. Simons","doi":"10.1016/S1574-1400(09)00508-8","DOIUrl":"https://doi.org/10.1016/S1574-1400(09)00508-8","url":null,"abstract":"","PeriodicalId":88823,"journal":{"name":"Annual reports in computational chemistry","volume":"5 1","pages":"163-183"},"PeriodicalIF":0.0,"publicationDate":"2009-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1574-1400(09)00508-8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"56636050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Chapter 6 Explicitly Correlated Coupled-Cluster Methods","authors":"T. Shiozaki, Edward F. Valeev, S. Hirata","doi":"10.1016/S1574-1400(09)00506-4","DOIUrl":"https://doi.org/10.1016/S1574-1400(09)00506-4","url":null,"abstract":"","PeriodicalId":88823,"journal":{"name":"Annual reports in computational chemistry","volume":"85 1","pages":"131-148"},"PeriodicalIF":0.0,"publicationDate":"2009-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1574-1400(09)00506-4","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"56636013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Methods for Monte Carlo simulations of biomacromolecules.","authors":"Andreas Vitalis, Rohit V Pappu","doi":"10.1016/S1574-1400(09)00503-9","DOIUrl":"10.1016/S1574-1400(09)00503-9","url":null,"abstract":"<p><p>The state-of-the-art for Monte Carlo (MC) simulations of biomacromolecules is reviewed. Available methodologies for sampling conformational equilibria and associations of biomacromolecules in the canonical ensemble, given a continuum description of the solvent environment, are reviewed. Detailed sections are provided dealing with the choice of degrees of freedom, the efficiencies of MC algorithms and algorithmic peculiarities, as well as the optimization of simple movesets. The issue of introducing correlations into elementary MC moves, and the applicability of such methods to simulations of biomacromolecules is discussed. A brief discussion of multicanonical methods and an overview of recent simulation work highlighting the potential of MC methods are also provided. It is argued that MC simulations, while underutilized biomacromolecular simulation community, hold promise for simulations of complex systems and phenomena that span multiple length scales, especially when used in conjunction with implicit solvation models or other coarse graining strategies.</p>","PeriodicalId":88823,"journal":{"name":"Annual reports in computational chemistry","volume":"5 ","pages":"49-76"},"PeriodicalIF":0.0,"publicationDate":"2009-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1574-1400(09)00503-9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"28953736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Quantifying uncertainty and sampling quality in biomolecular simulations.","authors":"Alan Grossfield, Daniel M Zuckerman","doi":"10.1016/S1574-1400(09)00502-7","DOIUrl":"10.1016/S1574-1400(09)00502-7","url":null,"abstract":"<p><p>Growing computing capacity and algorithmic advances have facilitated the study of increasingly large biomolecular systems at longer timescales. However, with these larger, more complex systems come questions about the quality of sampling and statistical convergence. What size systems can be sampled fully? If a system is not fully sampled, can certain \"fast variables\" be considered well-converged? How can one determine the statistical significance of observed results? The present review describes statistical tools and the underlying physical ideas necessary to address these questions. Basic definitions and ready-to-use analyses are provided, along with explicit recommendations. Such statistical analyses are of paramount importance in establishing the reliability of simulation data in any given study.</p>","PeriodicalId":88823,"journal":{"name":"Annual reports in computational chemistry","volume":"5 ","pages":"23-48"},"PeriodicalIF":0.0,"publicationDate":"2009-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2865156/pdf/nihms155855.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"28975649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Chapter 4 Accelerated Molecular Dynamics Methods: Introduction and Recent Developments","authors":"D. Perez, B. Uberuaga, Y. Shim, J. Amar, A. Voter","doi":"10.1016/S1574-1400(09)00504-0","DOIUrl":"https://doi.org/10.1016/S1574-1400(09)00504-0","url":null,"abstract":"","PeriodicalId":88823,"journal":{"name":"Annual reports in computational chemistry","volume":"5 1","pages":"79-98"},"PeriodicalIF":0.0,"publicationDate":"2009-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1574-1400(09)00504-0","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"56635992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Stochastic Models for Polymerization Reactions Under Nonequilibrium Conditions","authors":"Yanping Qin, A. Popov, R. Hernandez","doi":"10.1016/S1574-1400(08)00010-8","DOIUrl":"https://doi.org/10.1016/S1574-1400(08)00010-8","url":null,"abstract":"","PeriodicalId":88823,"journal":{"name":"Annual reports in computational chemistry","volume":"4 1","pages":"173-199"},"PeriodicalIF":0.0,"publicationDate":"2008-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1574-1400(08)00010-8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"56635911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Applications and Advances of QM/MM Methods in Computational Enzymology","authors":"A. Lodola, Christopher J. Woods, A. Mulholland","doi":"10.1016/S1574-1400(08)00009-1","DOIUrl":"https://doi.org/10.1016/S1574-1400(08)00009-1","url":null,"abstract":"","PeriodicalId":88823,"journal":{"name":"Annual reports in computational chemistry","volume":"4 1","pages":"155-169"},"PeriodicalIF":0.0,"publicationDate":"2008-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1574-1400(08)00009-1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"56635905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}