BiosilicoPub Date : 2003-03-01DOI: 10.1016/S1478-5382(03)02288-1
J.C. Louis (freelance writer)
{"title":"The proper study of man is man","authors":"J.C. Louis (freelance writer)","doi":"10.1016/S1478-5382(03)02288-1","DOIUrl":"10.1016/S1478-5382(03)02288-1","url":null,"abstract":"","PeriodicalId":9227,"journal":{"name":"Biosilico","volume":"1 1","pages":"Pages 7-8"},"PeriodicalIF":0.0,"publicationDate":"2003-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1478-5382(03)02288-1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73273794","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}
BiosilicoPub Date : 2003-03-01DOI: 10.1016/S1478-5382(03)02260-1
Harold R Garner , Alexander Pertsemlidis
{"title":"Computational biology: biological insight from 1s and 0s","authors":"Harold R Garner , Alexander Pertsemlidis","doi":"10.1016/S1478-5382(03)02260-1","DOIUrl":"10.1016/S1478-5382(03)02260-1","url":null,"abstract":"<div><p>There is no doubt that both computational biology and bioinformatics, and the interface of computer science and biology in general, are central to the future of biological research. The disciplines span a process that begins with data collection, analysis, classification, and integration and ends with interpretation, modeling, visualization, and prediction. Data mining may play a role in the middle, depending on the size of the dataset. Overall, the focus is on identifying opportunities and developing computational solutions (including algorithms, models, tools, and databases) that can be used for experimental design, data analysis and interpretation and hypothesis generation. The fundamental challenges are to describe, analyze, simulate and predict the dynamics of life processes.</p></div>","PeriodicalId":9227,"journal":{"name":"Biosilico","volume":"1 1","pages":"Pages 27-35"},"PeriodicalIF":0.0,"publicationDate":"2003-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1478-5382(03)02260-1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76019570","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}
BiosilicoPub Date : 2003-03-01DOI: 10.1016/S1478-5382(03)02230-3
Bahram Parvin , Daniel E. Callahan
{"title":"BioSig: an informatics framework for representing the physiological responses of living cells","authors":"Bahram Parvin , Daniel E. Callahan","doi":"10.1016/S1478-5382(03)02230-3","DOIUrl":"10.1016/S1478-5382(03)02230-3","url":null,"abstract":"<div><p>Subcellular experimental datasets and detailed cell models are required before modeling of whole organs. Cell modeling requires repeated interaction between simulation and experimental data. This review describes a coupled system of informatics and instrument control suitable for extracting information at the subcellular level. The BioSig informatics framework annotates time-series images with experimental variables and computed representation such as physiological responses, whereas visual servoing optical microscopy (VSOM) is used for adaptive perturbation and interaction with living cells.</p></div>","PeriodicalId":9227,"journal":{"name":"Biosilico","volume":"1 1","pages":"Pages 42-46"},"PeriodicalIF":0.0,"publicationDate":"2003-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1478-5382(03)02230-3","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87144375","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}
BiosilicoPub Date : 2003-03-01DOI: 10.1016/S1478-5382(03)02218-2
Alex L. Bangs, Thomas S. Paterson
{"title":"Finding value in in silico biology","authors":"Alex L. Bangs, Thomas S. Paterson","doi":"10.1016/S1478-5382(03)02218-2","DOIUrl":"10.1016/S1478-5382(03)02218-2","url":null,"abstract":"<div><p>Interest in adopting biological simulation and modeling in the pharmaceutical industry is high, but concerns remain over how soon the technology will pay off. Through a top-down approach to modeling the biology relevant to a disease, Entelos has been able to provide significant value for its research partners. The key to this value comes from understanding clinical outcomes in discovery or development well before any human trial occurs. This knowledge can then be applied to improve research strategy and decision-making throughout the pipeline. Applications include target validation and prioritization, candidate prioritization, biomarker identification and pre-clinical and clinical study optimization.</p></div>","PeriodicalId":9227,"journal":{"name":"Biosilico","volume":"1 1","pages":"Pages 18-22"},"PeriodicalIF":0.0,"publicationDate":"2003-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1478-5382(03)02218-2","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72683439","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}