Multi-instance Learning for Structure-Activity Modeling for Molecular Properties

Author(s):  
Dmitry V. Zankov ◽  
Maxim D. Shevelev ◽  
Alexandra V. Nikonenko ◽  
Pavel G. Polishchuk ◽  
Asima I. Rakhimbekova ◽  
...  
Author(s):  
Ranita Pal ◽  
Pratim Kumar Chattaraj

In the current pandemic-stricken world, quantitative structure-activity relationship (QSAR) analysis has become a necessity in the domain of molecular biology and drug design, realizing that it helps estimate properties and activities of a compound, without actually having to spend time and resources to synthesize it in the laboratory. Correlating the molecular structure of a compound with its activity depends on the choice of the descriptors, which becomes a difficult and confusing task when we have so many to choose from. In this mini-review, the authors delineate the importance of very simple and easy to compute descriptors in estimating various molecular properties/toxicity.


2017 ◽  
Vol 20 (1) ◽  
Author(s):  
Anna H. C. Vlot ◽  
Wilhelmus E. A. de Witte ◽  
Meindert Danhof ◽  
Piet H. van der Graaf ◽  
Gerard J. P. van Westen ◽  
...  

2016 ◽  
Vol 8 (16) ◽  
pp. 1913-1926
Author(s):  
Vinicius G Maltarollo ◽  
Sheila C Araujo ◽  
Gustavo H G Trossini ◽  
Kathia M Honorio

2012 ◽  
Vol 31 (3-4) ◽  
pp. 301-312 ◽  
Author(s):  
N. Kireeva ◽  
I. I. Baskin ◽  
H. A. Gaspar ◽  
D. Horvath ◽  
G. Marcou ◽  
...  

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