• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

摘要:在计算机模拟中合成并优化系统。

SYNOPSIS: SYNthesize and OPtimize System in Silico.

作者信息

Vinkers H Maarten, de Jonge Marc R, Daeyaert Frederik F D, Heeres Jan, Koymans Lucien M H, van Lenthe Joop H, Lewi Paul J, Timmerman Henk, Van Aken Koen, Janssen Paul A J

机构信息

Center for Molecular Design, Janssen Pharmaceutica N.V., Antwerpsesteenweg 37, B-2350 Vosselaar, Belgium.

出版信息

J Med Chem. 2003 Jun 19;46(13):2765-73. doi: 10.1021/jm030809x.

DOI:10.1021/jm030809x
PMID:12801239
Abstract

We present a de novo design program called SYNOPSIS, that includes a synthesis route for each generated molecule. SYNOPSIS designs novel molecules by starting from a database of available molecules and simulating organic synthesis steps. This way of generating molecules imposes synthetic accessibility on the molecules. In addition to a starting database, a fitness function is needed that calculates the value of a desired property for an arbitrary molecule. The values obtained from this function guide the design process in optimizing the molecules toward an optimal value of the calculated property. Two applications are described. The first uses an electric dipole moment calculation to generate molecules possessing a strong dipole moment. The second makes use of the three-dimensional structure of a viral enzyme in order to generate high affinity ligands. Twenty eight compounds designed with the program resulted in 18 synthesized and tested compounds, 10 of which showed HIV inhibitory activity in vitro.

摘要

我们提出了一个名为SYNOPSIS的全新设计程序,它为每个生成的分子都包含一条合成路线。SYNOPSIS通过从可用分子数据库出发并模拟有机合成步骤来设计新型分子。这种生成分子的方式使分子具有合成可及性。除了起始数据库外,还需要一个适应度函数,该函数能为任意分子计算所需性质的值。从该函数获得的值在优化分子以使其朝着计算性质的最优值发展的过程中指导设计过程。文中描述了两个应用。第一个应用利用电偶极矩计算来生成具有强偶极矩的分子。第二个应用利用病毒酶的三维结构来生成高亲和力配体。用该程序设计的28种化合物中有18种被合成并进行了测试,其中10种在体外显示出HIV抑制活性。

相似文献

1
SYNOPSIS: SYNthesize and OPtimize System in Silico.摘要:在计算机模拟中合成并优化系统。
J Med Chem. 2003 Jun 19;46(13):2765-73. doi: 10.1021/jm030809x.
2
LEA3D: a computer-aided ligand design for structure-based drug design.LEA3D:一种用于基于结构的药物设计的计算机辅助配体设计。
J Med Chem. 2005 Apr 7;48(7):2457-68. doi: 10.1021/jm0492296.
3
3D-QSAR models on clinically relevant K103N mutant HIV-1 reverse transcriptase obtained from two strategic considerations.基于两个战略考量得到的关于临床相关K103N突变型HIV-1逆转录酶的3D-QSAR模型。
Bioorg Med Chem Lett. 2008 Feb 1;18(3):1181-94. doi: 10.1016/j.bmcl.2007.11.134. Epub 2007 Dec 8.
4
Revealing interaction mode between HIV-1 reverse transcriptase and diaryltriazine analog inhibitor.揭示HIV-1逆转录酶与二芳基三嗪类似物抑制剂之间的相互作用模式。
Chem Biol Drug Des. 2008 Nov;72(5):350-9. doi: 10.1111/j.1747-0285.2008.00713.x.
5
Designing active template molecules by combining computational de novo design and human chemist's expertise.通过结合计算从头设计和人类化学家的专业知识来设计活性模板分子。
J Med Chem. 2007 Apr 19;50(8):1925-32. doi: 10.1021/jm061356+. Epub 2007 Mar 17.
6
Design, synthesis, and SAR of a novel pyrazinone series with non-nucleoside HIV-1 reverse transcriptase inhibitory activity.具有非核苷类HIV-1逆转录酶抑制活性的新型吡嗪酮系列的设计、合成及构效关系研究
J Med Chem. 2005 Mar 24;48(6):1910-8. doi: 10.1021/jm040829e.
7
Structure based activity prediction of HIV-1 reverse transcriptase inhibitors.基于结构的HIV-1逆转录酶抑制剂活性预测
J Med Chem. 2005 Mar 24;48(6):2176-83. doi: 10.1021/jm049534r.
8
Structure-based design, parallel synthesis, structure-activity relationship, and molecular modeling studies of thiocarbamates, new potent non-nucleoside HIV-1 reverse transcriptase inhibitor isosteres of phenethylthiazolylthiourea derivatives.基于结构的设计、平行合成、构效关系以及硫代氨基甲酸盐的分子建模研究,苯乙基噻唑基硫脲衍生物的新型强效非核苷HIV-1逆转录酶抑制剂电子等排体
J Med Chem. 2005 Jun 2;48(11):3858-73. doi: 10.1021/jm049252r.
9
Synthesis and evaluation of 2-(2,6-dihalophenyl)-3-pyrimidinyl-1,3-thiazolidin-4-one analogues as anti-HIV-1 agents.2-(2,6-二卤苯基)-3-嘧啶基-1,3-噻唑烷-4-酮类似物作为抗HIV-1药物的合成与评价
Bioorg Med Chem. 2007 May 1;15(9):3134-42. doi: 10.1016/j.bmc.2007.02.044. Epub 2007 Feb 23.
10
2-(Aryl)-3-furan-2-ylmethyl-thiazolidin-4-ones as selective HIV-RT inhibitors.2-(芳基)-3-呋喃-2-基甲基-噻唑烷-4-酮作为选择性HIV逆转录酶抑制剂
Bioorg Med Chem. 2005 Dec 15;13(24):6771-6. doi: 10.1016/j.bmc.2005.07.063. Epub 2005 Sep 28.

引用本文的文献

1
Protein Spatial Structure Meets Artificial Intelligence: Revolutionizing Drug Synergy-Antagonism in Precision Medicine.蛋白质空间结构与人工智能相遇:革新精准医学中的药物协同 - 拮抗作用
Adv Sci (Weinh). 2025 Sep;12(33):e07764. doi: 10.1002/advs.202507764. Epub 2025 Aug 7.
2
Symmetry-constrained generation of diverse low-bandgap molecules with Monte Carlo tree search.利用蒙特卡罗树搜索对称约束生成多样的低带隙分子。
Chem Sci. 2025 May 10. doi: 10.1039/d4sc08675a.
3
Challenging Reaction Prediction Models to Generalize to Novel Chemistry.
挑战反应预测模型以推广至新化学领域。
ACS Cent Sci. 2025 Mar 12;11(4):539-549. doi: 10.1021/acscentsci.5c00055. eCollection 2025 Apr 23.
4
Retro-forward synthesis design and experimental validation of potent structural analogs of known drugs.已知药物有效结构类似物的逆向-正向合成设计与实验验证
Chem Sci. 2025 Mar 19;16(19):8383-8393. doi: 10.1039/d5sc00070j. eCollection 2025 May 14.
5
Directly optimizing for synthesizability in generative molecular design using retrosynthesis models.利用逆合成模型在生成式分子设计中直接优化可合成性。
Chem Sci. 2025 Mar 21;16(16):6943-6956. doi: 10.1039/d5sc01476j. eCollection 2025 Apr 16.
6
Molecular optimization using a conditional transformer for reaction-aware compound exploration with reinforcement learning.使用条件变压器进行分子优化,通过强化学习实现反应感知化合物探索。
Commun Chem. 2025 Feb 8;8(1):40. doi: 10.1038/s42004-025-01437-x.
7
Multi-and many-objective optimization: present and future in drug design.多目标和多目标优化:药物设计的现状与未来
Front Chem. 2023 Dec 18;11:1288626. doi: 10.3389/fchem.2023.1288626. eCollection 2023.
8
A Guide to In Silico Drug Design.计算机辅助药物设计指南。
Pharmaceutics. 2022 Dec 23;15(1):49. doi: 10.3390/pharmaceutics15010049.
9
ReMODE: a deep learning-based web server for target-specific drug design.ReMODE:一个基于深度学习的用于特定靶点药物设计的网络服务器。
J Cheminform. 2022 Dec 12;14(1):84. doi: 10.1186/s13321-022-00665-w.
10
Application of Computational Biology and Artificial Intelligence in Drug Design.计算生物学和人工智能在药物设计中的应用。
Int J Mol Sci. 2022 Nov 5;23(21):13568. doi: 10.3390/ijms232113568.