Search results for " QSPR"
showing 4 items of 4 documents
Polarity study of ionic liquids with the solvatochromic dye Nile Red: a QSPR approach using in silico VolSurf+ descriptors
2016
The in silico VolSurfþ descriptors, accounting for both cationic and anionic structural features of ionic liquids (ILs) were used to develop a Partial Least Squares (PLS) model able to establish a Quantitative Structure Property Relationship (QSPR) correlation with their solvatochromic dye Nile Red polarity. The PLS model allowed prediction of ENR values for 116 ILs providing an in silico ILs polarity database.
DNA minor groove binders: an overview on molecular modeling and QSAR approaches
2007
Molecular recognition of DNA by small molecules and proteins is a fundamental problem in structural biology and drug design. Understanding of recognition in both sequence-selective and sequence neutral ways at the level of successful prediction of binding modes and site selectivity will be instrumental for improvements in the design and synthesis of new molecules as potent and selective gene-regulatory drugs. Minor groove is the target of a large number of non-covalent binding agents. DNA binding with specific sequences, mostly AT, takes place by means of a combination of directed hydrogen bonding to base pair edges, van der Waals interactions with the minor groove walls and generalized ele…
Design of new DNA-interactive agents by molecular docking and QSPR approach
2010
The design of new series of pyrrolo-pyrimidine derivatives, further annelated with a third heterocycle of different size, which also present several chain shape moieties of variable length and with different physico-chemical character, is reported. In this contribution we showed that the combination of docking-based and QSPR-based methods could lead to good models for ligand-DNA interaction prediction. By means of these computational approaches on 360 proposed inhibitors, we were able to select the most promising candidates as DNA-interactive drugs potentially endowed with antitumor activity.
Prediction of ionic liquid's heat capacity by means of their in silico principal properties
2016
The in silico principal properties (PPs) of ionic liquids (ILs), derived by means of the VolSurf+ approach, were used to develop a Partial Least Squares (PLS) model able to find a quantitative correlation among IL descriptors (accounting for both cationic and anionic structural features) and heat capacity values, providing affordable predictions validated by experimental Cp measurements for an external set of ILs. In silico predictions allowed the selection of a limited number of structurally different ILs with similar Cp values, providing the possibility to select an optimal IL according to efficiency, as well as to environmental and economic sustainability. The present general procedure, …