首页> 外文OA文献 >A Novel Non-Stochastic Quadratic Fingerprints-based Approach for the “in silico” Discovery of New Antitrypanosomal Compounds.

【2h】

A Novel Non-Stochastic Quadratic Fingerprints-based Approach for the “in silico” Discovery of New Antitrypanosomal Compounds.

机译：基于非随机二次指纹的新型抗锥体化合物“计算机”发现方法。

页面导航

著录项
相似文献
相关主题

著录项

作者
Alina Montero-torres; María Celeste Vega; Yovani Marrero-ponce; Miriam Rolón; Alicia Gómez-barrio; José Antonio Escario; Vicente J. Arán; Antonio R. Martínez; Fernández Alfredo Meneses-marcel;
展开▼
作者单位

展开▼
年度 2015
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
中文文献
专利

1. A novel non-stochastic quadratic fingerprints-based approach for the 'in silico' discovery of new antitrypanosomal compounds. [J] . Montero Torres A, Vega MC, Marrero Ponce Y, Bioorganic and medicinal chemistry . 2005,第22期

机译：一种基于新型非随机二次指纹的方法，用于“ in silico”发现新的抗锥虫化合物。
2. A novel non-stochastic quadratic fingerprints-based approach for the 'in silico' discovery of new antitrypanosomal compounds. [J] . Montero Torres A, Vega MC, Marrero Ponce Y, Bioorganic and Medicinal Chemistry . 2005,第22期

机译：一种新颖的基于非随机二次指纹的方法，用于“计算机模拟”发现新的抗胰锥虫化合物。
3. Non-stochastic and stochastic linear indices of the 'molecular pseudograph's atom adjacency matrix': application to 'in silico' studies for the rational discovery of new antimalarial compounds. [J] . Marrero Ponce Y, Montero Torres A, Zaldivar CR, Bioorganic and Medicinal Chemistry . 2005,第4期

机译：“分子伪图的原子邻接矩阵”的非随机和随机线性指数：在“计算机模拟”研究中用于合理发现新抗疟疾化合物的应用。
4. Research on linear quadratic robust control algorithm for non-stochastic uncertain system [C] . Jiaoru Huang, Jiayue Ma, Fucai Qian, Chinese Control and Decision Conference . 2017

机译：非随机不确定系统的线性二次鲁棒控制算法研究
5. In silico screening of antitrypanosomal natural products against Trypanosoma cruzi proteins [D] . McCulley, Stephanie Felker. 2012

机译：在对抗蛋白酶瘤Cruzi蛋白的抗核糖体天然产物的硅筛选中
6. A range division and contraction approach for nonconvex quadratic program with quadratic constraints [O] . Chunshan Xue, Hongwei Jiao, Jingben Yin, -1

机译：具有二次约束的非凸二次程序的范围划分与收缩方法
7. A novel non-stochastic quadratic fingerprints-based approach for the 'in silico' discovery of new antitrypanosomal compounds [O] . Montero-Torres Alina, Vega María Celeste, Marrero-Ponce Yovani, 2013

机译：一种基于新型非随机二次指纹的方法，用于“反计算机”发现新的抗胰锥虫化合物
8. Fully in Silico Calibration of Empirical Predictive Models for Environmental Fate Properties of Novel Munitions Compounds. [R] . Tratnyek, P. G., Bylaska, E. J., Salter-Blanc, A. J., 2016

机译：完全用于新型弹药化合物环境归趋特性的经验预测模型的silico校准。

A Novel Non-Stochastic Quadratic Fingerprints-based Approach for the “in silico” Discovery of New Antitrypanosomal Compounds.

著录项

相似文献

相关主题

期刊订阅