A Simple Tree-Structured Line Formula Notation for Representing Molecular Topology

1978 ◽  
Vol 18 (4) ◽  
pp. 225-234 ◽  
Author(s):  
R. Geoff. Dromey
2014 ◽  
Vol 10 (1) ◽  
pp. 1-15
Author(s):  
Z. Láng

The possible effect of shaker harvest on root damage of 10-year-old cherry trees was studied on a simple tree structure model. The model was composed of elastic trunk and rigid main roots, the ends of which were connected to the surrounding soil via springs and dumping elements. Equations were set up to be able to calculate the relation between shaking height on the trunk and strain in the roots. To get the data for root break and their elongation at different shaking heights on the trunk, laboratory and field experiments were carried out on cherry trees and on their roots. Having evaluated the measured and calculated data it could be concluded that root damage is to be expected even at 3.6% strain and the risk of it increases with increased trunk amplitudes, i.e.with the decrease of shaking heightat smaller stem diameters (i.e. in younger plantation), andif the unbalanced mass of the shaker machine is too large for the given tree size.


2013 ◽  
Vol 16 (6) ◽  
pp. 473-483 ◽  
Author(s):  
Salvador Mérida ◽  
Santos Fustero ◽  
Vincent M. Villar ◽  
María Gálvez ◽  
Raquel Román ◽  
...  

2018 ◽  
Vol 18 (13) ◽  
pp. 1110-1122 ◽  
Author(s):  
Juan F. Morales ◽  
Lucas N. Alberca ◽  
Sara Chuguransky ◽  
Mauricio E. Di Ianni ◽  
Alan Talevi ◽  
...  

Much interest has been paid in the last decade on molecular predictors of promiscuity, including molecular weight, log P, molecular complexity, acidity constant and molecular topology, with correlations between promiscuity and those descriptors seemingly being context-dependent. It has been observed that certain therapeutic categories (e.g. mood disorders therapies) display a tendency to include multi-target agents (i.e. selective non-selectivity). Numerous QSAR models based on topological descriptors suggest that the topology of a given drug could be used to infer its therapeutic applications. Here, we have used descriptive statistics to explore the distribution of molecular topology descriptors and other promiscuity predictors across different therapeutic categories. Working with the publicly available ChEMBL database and 14 molecular descriptors, both hierarchical and non-hierchical clustering methods were applied to the descriptors mean values of the therapeutic categories after the refinement of the database (770 drugs grouped into 34 therapeutic categories). On the other hand, another publicly available database (repoDB) was used to retrieve cases of clinically-approved drug repositioning examples that could be classified into the therapeutic categories considered by the aforementioned clusters (111 cases), and the correspondence between the two studies was evaluated. Interestingly, a 3- cluster hierarchical clustering scheme based on only 14 molecular descriptors linked to promiscuity seem to explain up to 82.9% of approved cases of drug repurposing retrieved of repoDB. Therapeutic categories seem to display distinctive molecular patterns, which could be used as a basis for drug screening and drug design campaigns, and to unveil drug repurposing opportunities between particular therapeutic categories.


2010 ◽  
Vol 7 (6) ◽  
pp. 438-445 ◽  
Author(s):  
Maria Galvez-Llompart ◽  
Rosa M. Giner ◽  
Maria C. Recio ◽  
Sanzio Candeletti ◽  
Ramon Garcia-Domenech

2010 ◽  
Vol 6 (4) ◽  
pp. 252-268 ◽  
Author(s):  
Jorge Galvez ◽  
Ramon Garcia-Domenech

2005 ◽  
Vol 32 (1) ◽  
pp. 46-56 ◽  
Author(s):  
Yu. A. Ol'khov ◽  
Yu. N. Smirnov ◽  
O. A. Golodkov ◽  
G. P. Belov

Biochemistry ◽  
2011 ◽  
Vol 50 (47) ◽  
pp. 10203-10214 ◽  
Author(s):  
James M. B. Gordon ◽  
Sergei Shikov ◽  
Jason N. Kuehner ◽  
Melissa Liriano ◽  
Eunhee Lee ◽  
...  
Keyword(s):  

2009 ◽  
Vol 96 (7) ◽  
pp. 749-761 ◽  
Author(s):  
José María Amigó ◽  
Jorge Gálvez ◽  
Vincent M. Villar

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