We have developed a method for estimating protein-ligand binding free energy (DG) based on the direct protein-ligand interaction obtained by a molecular dynamics simulation. Using this method, we estimated the DG value statistically by the average values of the van der Waals and electrostatic interactions between each amino acid of the target protein and the ligand molecule. In addition, we introduced fluctuations in the accessible surface area (ASA) and dihedral angles of the protein-ligand complex system as the entropy terms of the DG estimation. The present method included the fluctuation term of structural change of the protein and the effective dielectric constant. We applied this method to 34 protein-ligand complex structures. As a result, the correlation coefficient between the experimental and calculated DG values was 0.81, and the average error of DG was 1.2 kcal/mol with the use of the fixed parameters. These results were obtained from a 2 nsec molecular dynamics simulation.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3816655PMC
http://dx.doi.org/10.3390/ph5101064DOI Listing

Publication Analysis

Top Keywords

molecular dynamics
12
dynamics simulation
12
protein-ligand binding
8
binding free
8
free energy
8
energy based
8
based direct
8
direct protein-ligand
8
protein-ligand interaction
8
interaction molecular
8

Similar Publications

The quantum transition state framework was developed to calculate the reaction path-resolved scattering matrix for atom-diatom reactions in hyperspherical (APH) coordinates. This approach allows for simply and directly calculating the reaction path-resolved scattering matrix, especially when the encircling reaction path is negligible. It could be used to determine the reactivities of specific pathways in a chemical reaction, providing insights into phenomena such as geometric phase effects.

View Article and Find Full Text PDF

Diabetes affects approximately 422 million people worldwide, leading to 1.5 million deaths annually and causing severe complications such as kidney failure, neuropathy, and cardiovascular disease. Aldose reductase (AR), a key enzyme in the polyol pathway, is an important therapeutic target for managing these complications.

View Article and Find Full Text PDF

In polymerization-induced phase separation, the impact of polymer-substrate interaction on the dynamics of phase separation for polymer blends is important in determining the final morphology and properties of polymer materials as the surface can act as another driving force for phase separation other than polymerization. We modify the previously-developed polymerizing Cahn-Hilliard (pCH) method by adding a surface potential to model the phase separation behavior of a mixture of two species independently undergoing linear step-growth polymerization in the presence of a surface. In our approach, we explicitly model polydispersity by separately considering different molecular-weight components with their own respective diffusion constants, and with the surface potential preferentially acting on only one species.

View Article and Find Full Text PDF

DNA nanostructures (DNs) have gained popularity in various biomedical applications due to their unique properties, including structural programmability, ease of synthesis and functionalization, and low cytotoxicity. Effective utilization of DNs in biomedical applications requires a fundamental understanding of their interactions with living cells and the mechanics of cellular uptake. Current knowledge primarily focuses on how the physicochemical properties of DNs, such as mass, shape, size, and surface functionalization, affect uptake efficacy.

View Article and Find Full Text PDF

Approximately two-thirds of patients with colorectal cancer (CRC) undergo resection with curative intent; however, 30% to 50% of these patients experience recurrence. The concentration of cell-free DNA (cfDNA) before and after surgery may be related to the prognosis of patients with CRC, but there is limited information regarding cfDNA levels at the time of surgery. Here, we analyzed surgical cfDNA release using plasma samples from 30 colorectal cancer patients at three key points during surgery: preoperative (immediately before surgery), intraoperative (during surgery), and postoperative (at the end of surgery).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!