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

nel_h2
MongoDB Atlas runs apps anywhere Icon
MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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