<p>Our method is composed of three steps: structure sampling, energy matrix generation, and binding energy calculation. Initial complex structures were generated by superimposing the peptides of crystal structures to the modeled SH3 domains. For each initial complex the near binding state conformations were sampled by molecular dynamics simulation. Sampled structures were used in calculating the contribution of each amino acid on the binding energy on each position, which is converted into energy matrices. The resulting energy matrices were used to calculate the binding energy of peptides.</p
Binding free energy calculations predict the potency of compounds to protein binding sites in a phys...
Abstract Spontaneous changes in protein systems, such as the binding of a ligand to an enzyme or rec...
We previously developed the direct interaction approximation (DIA) method to estimate the protein-li...
ABSTRACT: The potential for reliably predicting relative binding enthalpies, ΔΔE, from a direct meth...
Molecular dynamics simulations enable access to free energy differences governing the driving force ...
Computing accurate protein-ligand interaction energies is essential for virtual drug design. For thi...
A Protein is a large molecule that consists of a vast number of atoms; one can only imagine the comp...
We developed two enhanced sampling methods, one for configurational sampling of small molecules/pept...
Free energy perturbation methods serve an important role in drug discovery by providing accurate pre...
Alchemical protein–ligand binding free energy calculations are currently a topic in computational ch...
The accurate prediction of protein–protein complex geometries is of major importance to ultimately m...
Our goal is methods for predicting binding strengths, or binding free energies, between biomolecules...
Recent advances in improved force fields and sampling methods have made it possible for the accurate...
We present a method to evaluate the free energies of ligand binding utilizing a Monte Carlo estimati...
Many thermodynamic quantities can be extracted from computer simulations that generate an ensemble o...
Binding free energy calculations predict the potency of compounds to protein binding sites in a phys...
Abstract Spontaneous changes in protein systems, such as the binding of a ligand to an enzyme or rec...
We previously developed the direct interaction approximation (DIA) method to estimate the protein-li...
ABSTRACT: The potential for reliably predicting relative binding enthalpies, ΔΔE, from a direct meth...
Molecular dynamics simulations enable access to free energy differences governing the driving force ...
Computing accurate protein-ligand interaction energies is essential for virtual drug design. For thi...
A Protein is a large molecule that consists of a vast number of atoms; one can only imagine the comp...
We developed two enhanced sampling methods, one for configurational sampling of small molecules/pept...
Free energy perturbation methods serve an important role in drug discovery by providing accurate pre...
Alchemical protein–ligand binding free energy calculations are currently a topic in computational ch...
The accurate prediction of protein–protein complex geometries is of major importance to ultimately m...
Our goal is methods for predicting binding strengths, or binding free energies, between biomolecules...
Recent advances in improved force fields and sampling methods have made it possible for the accurate...
We present a method to evaluate the free energies of ligand binding utilizing a Monte Carlo estimati...
Many thermodynamic quantities can be extracted from computer simulations that generate an ensemble o...
Binding free energy calculations predict the potency of compounds to protein binding sites in a phys...
Abstract Spontaneous changes in protein systems, such as the binding of a ligand to an enzyme or rec...
We previously developed the direct interaction approximation (DIA) method to estimate the protein-li...