Artificial intelligence in synthetic chemistry: achievements and prospects

被引:46
作者
Baskin, Igor I. [1 ,2 ,4 ,5 ,6 ]
Madzhidov, Timur I. [2 ,6 ,7 ]
Antipin, Igor S. [2 ,7 ,8 ,9 ]
Varnek, Alexandre A. [2 ,3 ,6 ,10 ]
机构
[1] Lomonosov Moscow State Univ, Fac Phys, Leninskie Gory 1,Stroenie 2, Moscow 119991, Russia
[2] Kazan Volga Redg Fed Univ, AM Butlerov Inst Chem, Ul Kremlevskaya 18, Kazan 420008, Russia
[3] Univ Strasbourg, CNRS, UniStra, Lab Chemoinformat,UMR 7140, 4 Rue Blaise Pascal, F-67000 Strasbourg, France
[4] MSU, Phys & Math Sci, Moscow, Russia
[5] MSU, Fac Phys, Moscow, Russia
[6] KFU, Kazan, Russia
[7] KFU, Chem Sci, Kazan, Russia
[8] RAS, Moscow, Russia
[9] KFU, Dept Organ Chem, Moscow, Russia
[10] Univ Strasbourg, Strasbourg, France
基金
俄罗斯科学基金会;
关键词
STRUCTURE-REACTIVITY RELATIONSHIP; EXPERT SYSTEMS-APPROACH; COMPUTER-AIDED-DESIGN; GENOME-SCALE CLASSIFICATION; MOLECULAR-FIELD ANALYSIS; ORGANIC-REACTION SCHEMES; DATA MINING TECHNIQUES; REACTION-MATRIX TYPES; DE-NOVO DESIGN; NEURAL-NETWORK;
D O I
10.1070/RCR4746
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The review is devoted to the achievements in analysis of information on chemical reactions using machine learning methods. Four large areas that actively use these methods are outlined: computer-assisted planning of synthesis, analysis and visualization of chemical reaction data, prediction of the quantitative characteristics of reactions and computer-aided design of catalysts. The bibliography includes 346 references.
引用
收藏
页码:1127 / 1156
页数:30
相关论文
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