| 查看: 708 | 回复: 1 | |||
[交流]
分享一篇人工智能深度学习与经典编程算法相结合的药物设计文章 已有1人参与
|
|
题目名字： MolAICal: a soft tool for 3D drug design of protein targets by artificial intelligence and classical algorithm 全文链接：https://doi.org/10.1093/bib/bbaa161 摘要： Deep learning is an important branch of artificial intelligence that has been successfully applied into medicine and two-dimensional ligand design. The three-dimensional (3D) ligand generation in the 3D pocket of protein target is an interesting and challenging issue for drug design by deep learning. Here, the MolAICal software is introduced to supply a way for generating 3D drugs in the 3D pocket of protein targets by combining with merits of deep learning model and classical algorithm. The MolAICal software mainly contains two modules for 3D drug design. In the first module of MolAICal, it employs the genetic algorithm, deep learning model trained by FDA-approved drug fragments and Vinardo score fitting on the basis of PDBbind database for drug design. In the second module, it uses deep learning generative model trained by drug-like molecules of ZINC database and molecular docking invoked by Autodock Vina automatically. Besides, the Lipinski’s rule of five, Pan-assay interference compounds (PAINS), synthetic accessibility (SA) and other user-defined rules are introduced for filtering out unwanted ligands in MolAICal. To show the drug design modules of MolAICal, the membrane protein glucagon receptor and non-membrane protein SARS-CoV-2 main protease are chosen as the investigative drug targets. The results show MolAICal can generate the various and novel ligands with good binding scores and appropriate XLOGP values. We believe that MolAICal can use the advantages of deep learning model and classical programming for designing 3D drugs in protein pocket. MolAICal is freely for any nonprofit purpose and accessible at https://molaical.github.io |
回复此楼» 本帖已获得的红花（最新10朵）
czyzsu» 猜你喜欢
帮我的英语口语老师找学生
已经有4人回复
-
计算三阶力常数用thirdorder扩胞时参数如何选择？临近原子数怎么取值
已经有7人回复
-
物理学I论文润色/翻译怎么收费?
已经有300人回复
-
2026年循环经济功能材料国际会议（ICFMCE 2026）
已经有0人回复
-
2026年第五届电气、电子与信息工程国际会议（ISEEIE 2026）
已经有0人回复
-
哈尔滨理工大学物理系招收物理学考研调剂
已经有3人回复
-
0702一志愿吉大B区求调剂
已经有5人回复
-
求调剂
已经有0人回复
-
0702一志愿吉大B区求调剂有论文
已经有0人回复
-
请问还有没有用Latex写文章的小伙伴们？
已经有0人回复
czyzsu
专家顾问 (文坛精英)
-
专家经验: +3723 - 应助: 3320 (副教授)
- 贵宾: 1
- 金币: 308462
- 散金: 2465
- 红花: 685
- 帖子: 28639
- 在线: 7427.3小时
- 虫号: 150213
- 注册: 2005-12-29
- 专业: 化学生物学与生物有机化学
- 管辖: 有机交流
2楼2020-08-31 16:26:12
