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A programmatic tool for automatic ease in coronavirus drug discovery through programmatically automated data mining, QSAR and In Silico modelling

机译：通过以可编程自动化数据挖掘，QSAR和Silico建模自动轻松地自动缓解冠状病毒药物发现的程序化工具

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Ben Geoffrey A S; Rafal Madaj; Akhil Sanker; Mario Sergio Valdés Tresanco; Host Antony Davidd; Gitanjali Roy;
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1. Inductive data mining: automatic generation of decision trees from data for QSAR modelling and process historical data analysis [J] . Chao Y. Ma, Frances V. Buontempo, Xue Z. Wang International Journal of Modelling, Identification and Control . 2011,第1a2期

机译：归纳数据挖掘：从数据自动生成决策树以进行QSAR建模和过程历史数据分析
2. Rational drug design for anti-cancer chemotherapy: Multi-target QSAR models for the in silico discovery of anti-colorectal cancer agents [J] . Speck-PlancheA., KleandrovaV.V., LuanF., Bioorganic and medicinal chemistry . 2012,第15期

机译：抗癌化学疗法的合理药物设计：多靶点QSAR模型在计算机上发现抗结直肠癌药物
3. Data flow modeling, data mining and QSAR in high-throughput discovery of functional nanomaterials [J] . Yang Yang, Tian Lin, Xiao L. Weng, Computers & Chemical Engineering . 2011,第4期

机译：功能纳米材料高通量发现中的数据流建模，数据挖掘和QSAR
4. Trainable QSAR Model of Plasma Protein Binding and its Application for Predicting Volume of Distribution Platform Agnostic Data Processing Routine for Targeted and Untargeted Metabolite Identification in Drug Discovery [C] . Richard Lee, Vitaly Lashin, Andrey Paramonov, ASMS Conference on Mass Spectrometry and Allied Topics . 2016

机译：血浆蛋白质结合的可训练QSAR模型及其预测分发平台易无关数据处理常规在药物发现中有针对性和未标准的代谢物鉴定的应用
5. Development and application of ligand-based and structure-based computational drug discovery tools based on frequent subgraph mining of chemical structures [D] . Khashan, Raed Saeed 2007

机译：基于化学结构频繁子图挖掘的基于配体和基于结构的计算药物发现工具的开发和应用
6. Antitumor Agents 252. Application of Validated QSAR Models to Database Mining: Discovery of Novel Tylophorine Derivatives as Potential Anticancer Agents [O] . Shuxing Zhang, Linyi Wei, Ken Bastow, -1

机译：抗肿瘤剂252.验证的QSAR模型在数据库挖掘中的应用：新型酪氨酸衍生物作为潜在抗癌剂的发现
7. Automated In Silico Identification of Drug Candidates for Coronavirus Through a Novel Programmatic Tool and Extensive Computational (MD, DFT) Studies of Select Drug Candidates [O] . Ben Geoffrey A S, Rafal Madaj, Akhil Sanker, 2020

机译：通过新颖的编程工具和广泛的计算（MD，DFT）研究，在冠状病毒鉴定冠状病毒的药物候选人中的自动化

A programmatic tool for automatic ease in coronavirus drug discovery through programmatically automated data mining, QSAR and In Silico modelling

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