MMTSB Tool Set: enhanced sampling and multiscale modeling methods for applications in structural biology.
By Michael Feig, John Karanicolas, Charles L. Brooks III. Journal of Molecular Graphics and Modelling, 2004
839 citations recorded by the source corpus.
Subfields: Materials Chemistry, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/6d0e0544705b4784d54c56286a9e238eaa8b9e00
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In Materials Chemistry
- Lim Heo
- Collin F Arbour
- Michael Feig
- João P. G. L. M. Rodrigues
- Zeynep Kurkcuoglu
- Alexandre M. J. J. Bonvin
- Adrien S. J. Melquiond
- Mikael E. Trellet
In Molecular Biology
- Alexandre M. J. J. Bonvin
- Lim Heo
- Collin F Arbour
- João P. G. L. M. Rodrigues
- Zeynep Kurkcuoglu
- Michael Feig
- Panagiotis I. Koukos
- Li C. Xue
Citations in the corpus
- Modeling the CRL4A ligase complex to predict target protein ubiquitination induced by cereblon-recruiting PROTACs (2022, methodology): “…complex ensemble, the ternary complex ensemble is clustered using the Multiscale Modeling Tools for Structural Biology (MMTSB) clustering script (44) with an RMSD threshold of 3 Å. Models in the same cluster are considered as the same conformation and are ranked based on the ternary complex…”
- Driven to Near-Experimental Accuracy by Refinement via Molecular Dynamics Simulations (2019, methodology): “Preparation for the MD simulations, pre-/post-processing of PDB files, locPREFMD was performed by the MMTSB Tool Set 47 with CHARMM.”
- Performance of HADDOCK and a simple contact-based protein–ligand binding affinity predictor in the D3R Grand Challenge 2 (2017, methodology): “We used for this the jclust hierarchical clustering of the MMTSB tools [21], with the maximum number of clusters set to 10 and the minimum number of structures per cluster to 4.”