Virtual computational chemistry laboratory - design and description

被引:1321
作者
Tetko, IV [1 ]
Gasteiger, J
Todeschini, R
Mauri, A
Livingstone, D
Ertl, P
Palyulin, V
Radchenko, E
Zefirov, NS
Makarenko, AS
Tanchuk, VY
Prokopenko, VV
机构
[1] Inst Bioorgan & Petr Chem, Kiev, Ukraine
[2] GSF Forschungszentrum Umwelt & Gesundheit GmbH, Inst Bioinformat, D-85764 Neuherberg, Germany
[3] Univ Erlangen Nurnberg, Comp Chem Ctr, D-91052 Erlangen, Germany
[4] Univ Milano Bicocca, Dept Environm Sci, Milano Chemometr & QSAR Res Grp, Milan, Italy
[5] Portsmouth & ChemQuest, Ctr Mol Design, Portsmouth, Hants, England
[6] Novartis Inst Biomed Res, Basel, Switzerland
[7] Moscow MV Lomonosov State Univ, Dept Chem, Moscow, Russia
[8] Inst Appl Syst Anal, Kiev, Ukraine
关键词
on-line analysis; physico-chemical property predictions; indices calculation; model generation and validation; drug design;
D O I
10.1007/s10822-005-8694-y
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Internet technology offers an excellent opportunity for the development of tools by the cooperative effort of various groups and institutions. We have developed a multi-platform software system, Virtual Computational Chemistry Laboratory, http://www.vcclab.org, allowing the computational chemist to perform a comprehensive series of molecular indices/properties calculations and data analysis. The implemented software is based on a three-tier architecture that is one of the standard technologies to provide client-server services on the Internet. The developed software includes several popular programs, including the indices generation program, DRAGON, a 3D structure generator, CORINA, a program to predict lipophilicity and aqueous solubility of chemicals, ALOGPS and others. All these programs are running at the host institutes located in five countries over Europe. In this article we review the main features and statistics of the developed system that can be used as a prototype for academic and industry models.
引用
收藏
页码:453 / 463
页数:11
相关论文
共 32 条
[1]  
AJMANI S, 2005, COMP STUDY NEURAL NE
[2]  
Aksyonova T.I., 2003, SYSTEMS ANAL MODELIN, V43, P1331
[3]  
[Anonymous], 2005, PHYSPROP DATABASE
[4]  
Gordon Rob., 1998, Essential JNI: Java Native Interface
[5]   Neural network modeling for estimation of partition coefficient based on atom-type electrotopological state indices [J].
Huuskonen, JJ ;
Livingstone, DJ ;
Tetko, IV .
JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES, 2000, 40 (04) :947-955
[6]  
LEO AJ, 2000, PERSP DRUG DISCOV, P18
[7]  
McGovern J., 2003, JAVA WEB SERVICES AR
[8]   ATOM FRAGMENT CONTRIBUTION METHOD FOR ESTIMATING OCTANOL-WATER PARTITION-COEFFICIENTS [J].
MEYLAN, WM ;
HOWARD, PH .
JOURNAL OF PHARMACEUTICAL SCIENCES, 1995, 84 (01) :83-92
[9]  
Murray-Rust P, 2004, ORG BIOMOL CHEM, V2, P3192, DOI 10.1039/b410732b
[10]  
PALYULIN VA, 2003, MFTA RECENT EXTENSIO, P188