| Year |
Citation |
Score |
| 2020 |
Leman JK, Weitzner BD, Lewis SM, Adolf-Bryfogle J, Alam N, Alford RF, Aprahamian M, Baker D, Barlow KA, Barth P, Basanta B, Bender BJ, Blacklock K, Bonet J, Boyken SE, ... ... Pethe M, et al. Macromolecular modeling and design in Rosetta: recent methods and frameworks. Nature Methods. PMID 32483333 DOI: 10.1038/S41592-020-0848-2 |
0.488 |
|
| 2019 |
Pethe MA, Rubenstein AB, Khare SD. Data-driven supervised learning of a viral protease specificity landscape from deep sequencing and molecular simulations. Proceedings of the National Academy of Sciences of the United States of America. 116: 168-176. PMID 30587591 DOI: 10.1073/Pnas.1805256116 |
0.568 |
|
| 2017 |
Rubenstein AB, Pethe MA, Khare SD. MFPred: Rapid and accurate prediction of protein-peptide recognition multispecificity using self-consistent mean field theory. Plos Computational Biology. 13: e1005614. PMID 28650961 DOI: 10.1371/Journal.Pcbi.1005614 |
0.576 |
|
| 2016 |
Pethe MA, Rubenstein AB, Khare SD. Large-scale structure-based prediction and identification of novel protease substrates using computational protein design. Journal of Molecular Biology. PMID 27932294 DOI: 10.1016/J.Jmb.2016.11.031 |
0.635 |
|
| 2016 |
Khare SD, Rubenstein A, Pethe M. Structure-Based Prediction of Protease Multispecificity using Computational Protein Design Biophysical Journal. 110: 345a. DOI: 10.1016/J.Bpj.2015.11.1858 |
0.643 |
|
| 2015 |
Gallicchio E, Chen H, Chen H, Fitzgerald M, Gao Y, He P, Kalyanikar M, Kao C, Lu B, Niu Y, Pethe M, Zhu J, Levy RM. BEDAM binding free energy predictions for the SAMPL4 octa-acid host challenge. Journal of Computer-Aided Molecular Design. 29: 315-25. PMID 25726024 DOI: 10.1007/S10822-014-9795-2 |
0.367 |
|
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