2015
DOI: 10.5935/0103-5053.20150172
|View full text |Cite
|
Sign up to set email alerts
|

ALK-5 Inhibition: A Molecular Interpretation of the Main Physicochemical Properties Related to Bioactive Ligands

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
8
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
4
1
1

Relationship

1
5

Authors

Journals

citations
Cited by 6 publications
(9 citation statements)
references
References 4 publications
1
8
0
Order By: Relevance
“…Then, the physicochemical and molecular descriptors of the TPs 2 , 3 , 5 , 7 , 8 , 9 and 10 were calculated with PaDEL descriptor software [52] . At this step, 2187 descriptors were calculated, and then, we carried out the following variable selection strategies based on previously reported works: [41,53–55] (i) Fisher's weight was calculated in order to identify the descriptors with most importance to distinguish the clusters identified on HCA (FW>1); (ii) we calculated Pearson correlation coefficients to identify the highly correlated variables (R>0.80) to both experimental values; (iii) three variables were selected with high correlations with biological activities and least correlations among them. The three descriptors were autoscaled before the PCA studies.…”
Section: Methodsmentioning
confidence: 99%
“…Then, the physicochemical and molecular descriptors of the TPs 2 , 3 , 5 , 7 , 8 , 9 and 10 were calculated with PaDEL descriptor software [52] . At this step, 2187 descriptors were calculated, and then, we carried out the following variable selection strategies based on previously reported works: [41,53–55] (i) Fisher's weight was calculated in order to identify the descriptors with most importance to distinguish the clusters identified on HCA (FW>1); (ii) we calculated Pearson correlation coefficients to identify the highly correlated variables (R>0.80) to both experimental values; (iii) three variables were selected with high correlations with biological activities and least correlations among them. The three descriptors were autoscaled before the PCA studies.…”
Section: Methodsmentioning
confidence: 99%
“…In this work, molecular modeling techniques were employed to aid in the design of new neolignan-based compounds with improved biological activity against T. cruzi . It is noteworthy to mention that, from molecular modeling studies and statistical models, valuable results have been obtained taking into account libraries of bioactive substances related to several biological targets [ 12 , 13 , 14 , 15 ]. In particular, computational techniques directed to studies related to CD can be considered as powerful tools to help in the discovery and the design of selective, potent, and safer drug candidates [ 16 , 17 , 18 , 19 ].…”
Section: Introductionmentioning
confidence: 99%
“…Several studies attempt to inhibit the biological targets under study and one way to study the interaction processes between HER-2/EGFR and inhibitor molecules is employing molecular modeling methods, which are often employed in medicinal chemistry [6,13,14,15,16]. Using these techniques, it is possible to identify the interactions that occur between bioactive molecules and biological receptors.…”
Section: Introductionmentioning
confidence: 99%