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检索条件"主题词=Quantitative Structure Activity Relationship Model"
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Structural investigations of T854A mutation in EGFR and identification of novel inhibitors using structure activity relationships
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BMC GENOMICS 2015年 第5-Sup期16卷 1-9页
作者: Goyal, Sukriti Jamal, Salma Shanker, Asheesh Grover, Abhinav Banasthali Univ Dept Biosci & Biotechnol Tonk 304022 Rajasthan India Jawaharlal Nehru Univ Sch Biotechnol New Delhi 110067 India
Background: The epidermal growth factor receptor (EGFR) is a member of the ErbB family that is involved in a number of processes responsible for cancer development and progression such as angiogenesis, apoptosis, cell... 详细信息
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AZOrange - High performance open source machine learning for QSAR modeling in a graphical programming environment
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JOURNAL OF CHEMINFORMATICS 2011年 第1期3卷 1-10页
作者: Stalring, Jonna C. Carlsson, Lars A. Almeida, Pedro Boyer, Scott AstraZeneca R&D Computat Toxicol Global Safety Assessment S-43153 Molndal Sweden EngInMotion Ltd P-3510070 Viseu Portugal
Background: Machine learning has a vast range of applications. In particular, advanced machine learning methods are routinely and increasingly used in quantitative structure activity relationship (QSAR) modeling. QSAR... 详细信息
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EDETOX. Evaluations and predictions of dermal absorption of toxic chemicals
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INTERNATIONAL ARCHIVES OF OCCUPATIONAL AND ENVIRONMENTAL HEALTH 2004年 第2期77卷 150-151页
作者: Williams, FM Univ Newcastle Upon Tyne Sch Med Toxicol Unit Newcastle Upon Tyne NE2 4HH Tyne & Wear England
The article reports that EDETOX is a 3-year project, which was started in January 2001, that will generate new data on dermal absorption of chemicals. The consortium comprises 12 participants from seven European Union... 详细信息
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KiDoQ: using docking based energy scores to develop ligand based model for predicting antibacterials
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BMC BIOINFORMATICS 2010年 第1期11卷 125-125页
作者: Garg, Aarti Tewari, Rupinder Raghava, Gajendra P. S. Inst Microbial Technol Bioinformat Ctr Chandigarh India Panjab Univ Dept Biotechnol Chandigarh 160014 India
Background: Identification of novel drug targets and their inhibitors is a major challenge in the field of drug designing and development. Diaminopimelic acid (DAP) pathway is a unique lysine biosynthetic pathway pres... 详细信息
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