standard thermodynamic properties
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2021 ◽  
Vol 66 (10) ◽  
pp. 3678-3685
Author(s):  
Maxim I. Lelet ◽  
Vera N. Larina ◽  
Andrey V. Petrov ◽  
Elizaveta O. Silyakova ◽  
Evgeny V. Suleimanov




2020 ◽  
Vol 686 ◽  
pp. 178533
Author(s):  
Anna M. Sankovich ◽  
Tatiana D. Myshkovskaia ◽  
Alexey V. Markin ◽  
Natalia N. Smirnova ◽  
Irina A. Zvereva


2020 ◽  
Vol 147 ◽  
pp. 2160-2170 ◽  
Author(s):  
Weijia Huang ◽  
Danxing Zheng ◽  
Xiaohui Chen ◽  
Lin Shi ◽  
Xiaoye Dai ◽  
...  


2020 ◽  
Vol 297 ◽  
pp. 111891
Author(s):  
Evgeniy V. Ivanov ◽  
Elena Yu Lebedeva ◽  
Dmitriy V. Batov ◽  
Vladimir V. Baranov ◽  
Angelina N. Kravchenko


2019 ◽  
Author(s):  
Tetsafe De Angeli

Chemical similarity between molecules, is a key concept in drug design and drug discovery. The advance in computational science, had given rise to many new possibilities for understand difference and similarity between molecules. In particular, is very important the QSAR (quantitative structure–activity relationship ) paradigm (1). Typical approaches to calculate chemical similarities use chemical fingerprints or QSAR, but this doesn´t consider the thermochemical properties of the molecules. In others words chemical similarity is described as an inverse of a measure of distance in descriptor space. In this work is presented a new method, for calculate chemical similarities.



2019 ◽  
Author(s):  
Tetsafe De Angeli

Chemical similarity between molecules, is a key concept in drug design and drug discovery. The advance in computational science, had given rise to many new possibilities for understand difference and similarity between molecules. In particular, is very important the QSAR (quantitative structure–activity relationship ) paradigm (1). Typical approaches to calculate chemical similarities use chemical fingerprints or QSAR, but this doesn´t consider the thermochemical properties of the molecules. In others words chemical similarity is described as an inverse of a measure of distance in descriptor space. In this work is presented a new method, for calculate chemical similarities.



2018 ◽  
Author(s):  
Tetsafe De Angeli

Chemical similarity between molecules, is a key concept in drug design and drug discovery. The advance in computational science, had given rise to many new possibilities for understand difference and similarity between molecules. In particular, is very important the QSAR (quantitative structure–activity relationship ) paradigm (1). Typical approaches to calculate chemical similarities use chemical fingerprints or QSAR, but this doesn´t consider the thermochemical properties of the molecules. In others words chemical similarity is described as an inverse of a measure of distance in descriptor space. In this work is presented a new method, for calculate chemical similarities



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