Year |
Citation |
Score |
2023 |
Nordquist E, Zhang G, Barethiya S, Ji N, White KM, Han L, Jia Z, Shi J, Cui J, Chen J. Incorporating physics to overcome data scarcity in predictive modeling of protein function: A case study of BK channels. Plos Computational Biology. 19: e1011460. PMID 37713443 DOI: 10.1371/journal.pcbi.1011460 |
0.573 |
|
2023 |
Nordquist E, Zhang G, Barethiya S, Ji N, White KM, Han L, Jia Z, Shi J, Cui J, Chen J. Incorporating physics to overcome data scarcity in predictive modeling of protein function: a case study of BK channels. Biorxiv : the Preprint Server For Biology. PMID 37425916 DOI: 10.1101/2023.06.24.546384 |
0.573 |
|
2023 |
Zheng LE, Barethiya S, Nordquist E, Chen J. Machine Learning Generation of Dynamic Protein Conformational Ensembles. Molecules (Basel, Switzerland). 28. PMID 37241789 DOI: 10.3390/molecules28104047 |
0.579 |
|
2023 |
Nordquist EB, Jia Z, Chen J. Inner pore hydration free energy controls the activation of big potassium channels. Biophysical Journal. PMID 36774534 DOI: 10.1016/j.bpj.2023.02.005 |
0.555 |
|
2022 |
Nordquist EB, Clerico EM, Chen J, Gierasch LM. Computationally-Aided Modeling of Hsp70-Client Interactions: Past, Present, and Future. The Journal of Physical Chemistry. B. PMID 36040440 DOI: 10.1021/acs.jpcb.2c03806 |
0.566 |
|
2022 |
Nordquist EB, Schultz SA, Chen J. Using Metadynamics To Explore the Free Energy of Dewetting in Biologically Relevant Nanopores. The Journal of Physical Chemistry. B. 126: 6428-6437. PMID 35998613 DOI: 10.1021/acs.jpcb.2c04157 |
0.52 |
|
2021 |
Nordquist EB, English CA, Clerico EM, Sherman W, Gierasch LM, Chen J. Physics-based modeling provides predictive understanding of selectively promiscuous substrate binding by Hsp70 chaperones. Plos Computational Biology. 17: e1009567. PMID 34735438 DOI: 10.1371/journal.pcbi.1009567 |
0.503 |
|
2019 |
Gong X, Chiricotto M, Liu X, Nordquist E, Feig M, Brooks CL, Chen J. Accelerating the Generalized Born with Molecular Volume and Solvent Accessible Surface Area Implicit Solvent Model Using Graphics Processing Units. Journal of Computational Chemistry. PMID 31875339 DOI: 10.1002/Jcc.26133 |
0.473 |
|
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