Check it out!
Simple Method to Optimize the Spacing and Number of Alchemical Intermediates in Expanded Ensemble Free Energy Calculations
https://t.co/M0715X0fWN
Check out the new preprint from Volez Lab:
@RMRaddi
High-resolution tuning of non-natural and cyclic peptide folding landscapes against NMR measurements using Markov models and Bayesian Inference of Conformational Populations | ChemRxiv - https://t.co/XsNPNtMWOP
Check out our new preprint on interfacial dielectric constant for buried interfaces! We've derived an expression and validated it using sum frequency and Fresnel factor calculations.
https://t.co/MZJZv3miw7
Need better Karplus parameters for your system? Don't have a crystal structure? Nbd.
#computationalbiology ppl @BiophysicalSoc#BPS2025📢 Checkout the new preprint from the @voelzlab.
Automatic Forward Model Parameterization w/ BICePs
https://t.co/hz7Y4lqSJm
New paper alert! https://t.co/S9zyicM2W5
Shyam and Ben's collaboration with Somaiyeh and co in the Borguet lab is out! @ualbertachem @shyam_parshotam @RehlBenjamin
📢 New preprint on Chignolin mini-protein force field accuracy with Markov State Models: https://t.co/ENh0kYEX2Y. Follow-up introduces Bayesian model selection for force fields: https://t.co/CyqZUVq0Oy.
#compchem#forcefields#MDsimulations#proteinfolding
Checkout our latest preprint!
Keywords: Force field optimization; Bayesian inference; Variational minimization of the BICePs score; ensemble averaged data; treatment of random & systematic error
https://t.co/YxfoHTbrVm
Checkout our preprint: Model selection using replica averaging with Bayesian inference of conformational populations https://t.co/8LulklOQao
Keywords: Bayesian inference | maximum entropy | force fields | model selection | chignolin |
@voelzlab@yunhuige