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1.
J Chem Inf Model ; 59(1): 98-116, 2019 01 28.
Artículo en Inglés | MEDLINE | ID: mdl-30462505

RESUMEN

A framework is presented for the calculation of novel alignment-free descriptors of molecular shape. The methods are based on the technique of spectral geometry which has been developed in the field of computer vision where it has shown impressive performance for the comparison of deformable objects such as people and animals. Spectral geometry techniques encode shape by capturing the curvature of the surface of an object into a compact, information-rich representation that is alignment-free while also being invariant to isometric deformations, that is, changes that do not distort distances over the surface. Here, we adapt the technique to the new domain of molecular shape representation. We describe a series of parametrization steps aimed at optimizing the method for this new domain. Our focus here is on demonstrating that the basic approach is able to capture a molecular shape into a compact and information-rich descriptor. We demonstrate improved performance in virtual screening over a more established alignment-free method and impressive performance compared to a more accurate, but much more computationally demanding, alignment-based approach.


Asunto(s)
Procesamiento de Imagen Asistido por Computador , Estructura Molecular , Algoritmos , Simulación por Computador , Bases de Datos de Compuestos Químicos , Modelos Moleculares
2.
ChemMedChem ; 13(6): 607-613, 2018 03 20.
Artículo en Inglés | MEDLINE | ID: mdl-29314719

RESUMEN

Bioisosterism is an important concept in the lead optimisation phase of drug discovery where the aim is to make modifications to parts of a molecule in order to improve some properties while maintaining others. We present an analysis of bioisosteric fragments extracted from the ligands in an established data set consisting of 121 protein targets. A pairwise analysis is carried out of all ligands for a given target. The ligands are fragmented using the BRICS fragmentation scheme and a pair of fragments is deemed to be bioisosteric if they occupy a similar volume of the protein binding site. We consider two levels of generality, one which does not consider the number of attachment points in the fragments and a more restricted case in which both fragments are required to have the same number of attachments. We investigate the extent to which the bioisosteric pairs that are found are common across different target.


Asunto(s)
Algoritmos , Biología Computacional , Bases de Datos de Proteínas , Proteínas/química , Descubrimiento de Drogas , Ligandos , Conformación Proteica
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