Understanding protein interaction with material surfaces is important for the development of nanotechnological devices. The structures and dynamics of proteins can be studied via molecular dynamics (MD) if the protein-surface interactions can be accurately modeled. Based on AMBER14 and GAFF, we systematically tuned the Lennard-Jones parameters of selected amino acid sidechains and the functional group of SAM with repeated metadynamics and umbrella sampling simulations. The final parameter set has yielded a significant improvement in the free energy values with R = 0.83 and MSE = 0.65 kcal/mol. We applied the refined force field to predict the adsorption orientation
of lysozyme on CH3-SAM.

For details, please refer to our publication:
Bhadra and Siu, "A Refined Empirical Force Field to Model Protein-SAM Interactions Based on AMBER14
and GAFF" (submitted)
https://cbbio.online/software/SAMFF/index.html

Features

  • Self-Assembled Monolayers
  • Protein
  • Force field
  • Molecular Dynamics
  • Parameterization

Project Samples

Project Activity

See All Activity >

Follow SAMFF

SAMFF Web Site

Other Useful Business Software
$300 Free Credits to Build on Google Cloud Icon
$300 Free Credits to Build on Google Cloud

New customers can spin up VMs, build with AI, and query data at no cost.

Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of SAMFF!

Additional Project Details

Registered

2018-09-13