In this dissertation a novel approach to protein-ligand docking is presented. First an existing method to predict putative active sites is employed. These predictions are then used to cut down the search space of an algorithm that uses the fast Fourier transform to calculate the geometrical and electrostatic complementarity between a protein and a small organic ligand. A simplified hydrophobicity score is also calculated for each active site. The docking method could be applied either to dock ligands in a known active site or to rank several putative active sites according to their biological feasibility. The method was evaluated on a set of 310 protein-ligand complexes. The results show that with respect to docking the method with its init...
Copyright © 2015 Igor V. Oferkin et al.This is an open access article distributed under the Creative...
With more and more protein structures being identified, as well as rapid developments in the pharmac...
This project aims to develop nobels algorithms to model protein-protein complexes, a very important ...
In this dissertation a novel approach to protein-ligand docking is presented. First an existing meth...
In this dissertation a novel approach to protein-ligand docking is presented. First an existing meth...
With the rapid development of structural determination of target proteins for human diseases, high t...
Few methods use molecular dynamics simulations based on atomically detailed force fields to study th...
An empirical protein-ligand binding affinity estimation method, SCORE, was incorporated into a popul...
In this paper, a framework for protein-protein docking is proposed, which exploits both shape and ph...
Ligand-docking is an established computational technique universally applied in structure-based drug...
AbstractBackground: Molecular docking seeks to predict the geometry and affinity of the binding of a...
Ligand-docking is an established computational technique universally applied in structure-based drug...
Ligand-docking is an established computational technique universally applied in structure-based drug...
Ligand-docking is an established computational technique universally applied in structure-based drug...
Ligand-docking is an established computational technique universally applied in structure-based drug...
Copyright © 2015 Igor V. Oferkin et al.This is an open access article distributed under the Creative...
With more and more protein structures being identified, as well as rapid developments in the pharmac...
This project aims to develop nobels algorithms to model protein-protein complexes, a very important ...
In this dissertation a novel approach to protein-ligand docking is presented. First an existing meth...
In this dissertation a novel approach to protein-ligand docking is presented. First an existing meth...
With the rapid development of structural determination of target proteins for human diseases, high t...
Few methods use molecular dynamics simulations based on atomically detailed force fields to study th...
An empirical protein-ligand binding affinity estimation method, SCORE, was incorporated into a popul...
In this paper, a framework for protein-protein docking is proposed, which exploits both shape and ph...
Ligand-docking is an established computational technique universally applied in structure-based drug...
AbstractBackground: Molecular docking seeks to predict the geometry and affinity of the binding of a...
Ligand-docking is an established computational technique universally applied in structure-based drug...
Ligand-docking is an established computational technique universally applied in structure-based drug...
Ligand-docking is an established computational technique universally applied in structure-based drug...
Ligand-docking is an established computational technique universally applied in structure-based drug...
Copyright © 2015 Igor V. Oferkin et al.This is an open access article distributed under the Creative...
With more and more protein structures being identified, as well as rapid developments in the pharmac...
This project aims to develop nobels algorithms to model protein-protein complexes, a very important ...