Year |
Citation |
Score |
2018 |
Sinitskiy AV, Pande VS. Computer Simulations Predict High Structural Heterogeneity of Functional State of NMDA Receptors. Biophysical Journal. PMID 30029773 DOI: 10.1016/J.Bpj.2018.06.023 |
0.385 |
|
2018 |
Sinitskiy AV, Pande VS. Theoretical restrictions on longest implicit time scales in Markov state models of biomolecular dynamics. The Journal of Chemical Physics. 148: 044111. PMID 29390806 DOI: 10.1063/1.5005058 |
0.337 |
|
2018 |
Sinitskiy AV, Voth GA. Quantum mechanics/coarse-grained molecular mechanics (QM/CG-MM). The Journal of Chemical Physics. 148: 014102. PMID 29306280 DOI: 10.1063/1.5006810 |
0.514 |
|
2017 |
Sinitskiy AV, Pande VS. Simulated Dynamics of Glycans on Ligand-Binding Domain of NMDA Receptors Reveals Strong Dynamic Coupling between Glycans and Protein Core. Journal of Chemical Theory and Computation. PMID 29019687 DOI: 10.1021/Acs.Jctc.7B00817 |
0.352 |
|
2017 |
Sinitskiy AV, Stanley NH, Hackos DH, Hanson JE, Sellers BD, Pande VS. Computationally Discovered Potentiating Role of Glycans on NMDA Receptors. Scientific Reports. 7: 44578. PMID 28378791 DOI: 10.1038/Srep44578 |
0.326 |
|
2017 |
Madsen JJ, Sinitskiy AV, Li J, Voth GA. Highly Coarse-grained Representations of Transmembrane Proteins. Journal of Chemical Theory and Computation. PMID 28043122 DOI: 10.1021/Acs.Jctc.6B01076 |
0.562 |
|
2016 |
Hocky GM, Baker JL, Bradley MJ, Sinitskiy AV, De La Cruz EM, Voth GA. Cations Stiffen Actin Filaments by Adhering a Key Structural Element to Adjacent Subunits. The Journal of Physical Chemistry. B. PMID 27146246 DOI: 10.1021/Acs.Jpcb.6B02741 |
0.66 |
|
2016 |
Hocky GM, Baker JL, Bradley MJ, Sinitskiy AV, De La Cruz EM, Voth GA. Specific Cation Binding Stiffens Actin Filaments by Adhering D-Loops to Adjacent Monomers Biophysical Journal. 110: 125a. DOI: 10.1016/J.Bpj.2015.11.721 |
0.654 |
|
2015 |
Sinitskiy AV, Voth GA. A reductionist perspective on quantum statistical mechanics: Coarse-graining of path integrals. The Journal of Chemical Physics. 143: 094104. PMID 26342356 DOI: 10.1063/1.4929790 |
0.45 |
|
2014 |
Davtyan A, Dama JF, Sinitskiy AV, Voth GA. The Theory of Ultra-Coarse-Graining. 2. Numerical Implementation. Journal of Chemical Theory and Computation. 10: 5265-75. PMID 26583210 DOI: 10.1021/Ct500834T |
0.55 |
|
2014 |
Jang S, Sinitskiy AV, Voth GA. Can the ring polymer molecular dynamics method be interpreted as real time quantum dynamics? Journal of Chemical Physics. 140. DOI: 10.1063/1.4870717 |
0.456 |
|
2014 |
Davtyan A, Dama JF, Sinitskiy AV, Voth GA. The theory of ultra-coarse-graining. 2. Numerical implementation Journal of Chemical Theory and Computation. 10: 5265-5275. DOI: 10.1021/ct500834t |
0.403 |
|
2013 |
Dama JF, Sinitskiy AV, McCullagh M, Weare J, Roux B, Dinner AR, Voth GA. The Theory of Ultra-Coarse-Graining. 1. General Principles. Journal of Chemical Theory and Computation. 9: 2466-80. PMID 26583735 DOI: 10.1021/Ct4000444 |
0.639 |
|
2013 |
Dama JF, Sinitskiy AV, McCullagh M, Weare J, Roux B, Dinner AR, Voth GA. The theory of ultra-coarse-graining. 1. General principles Journal of Chemical Theory and Computation. 9: 2466-2480. DOI: 10.1021/ct4000444 |
0.557 |
|
2013 |
Sinitskiy AV, Voth GA. Coarse-graining of proteins based on elastic network models Chemical Physics. 422: 165-174. DOI: 10.1016/J.Chemphys.2013.01.024 |
0.509 |
|
2012 |
Sinitskiy AV, Saunders MG, Voth GA. Optimal number of coarse-grained sites in different components of large biomolecular complexes. The Journal of Physical Chemistry. B. 116: 8363-74. PMID 22276676 DOI: 10.1021/Jp2108895 |
0.646 |
|
Low-probability matches (unlikely to be authored by this person) |
2010 |
Sinitskiy AV, Greenman L, Mazziotti DA. Strong correlation in hydrogen chains and lattices using the variational two-electron reduced density matrix method. The Journal of Chemical Physics. 133: 014104. PMID 20614956 DOI: 10.1063/1.3459059 |
0.29 |
|
2009 |
Sinitskiy AV, Tchougréeff AL, Tokmachev AM, Dronskowski R. Modeling molecular crystals formed by spin-active metal complexes by atom-atom potentials. Physical Chemistry Chemical Physics : Pccp. 11: 10983-93. PMID 19924334 DOI: 10.1039/B908321A |
0.278 |
|
2018 |
Sinitskiy AV, Subedi GP, Barb AW, Pande VS. Glycan-Protein Interactions in NMDA Receptors Revealed with Computational Modeling and NMR Spectroscopy Biophysical Journal. 114: 338a. DOI: 10.1016/J.Bpj.2017.11.1889 |
0.273 |
|
2019 |
Subedi GP, Sinitskiy AV, Roberts JT, Patel KR, Pande VS, Barb AW. Intradomain Interactions in an NMDA Receptor Fragment Mediate N-Glycan Processing and Conformational Sampling. Structure (London, England : 1993). 27: 55-65.e3. PMID 30482728 DOI: 10.1016/J.Str.2018.09.010 |
0.269 |
|
2011 |
Sinitskiy AV, Tchougréeff AL, Dronskowski R. Phenomenological model of spin crossover in molecular crystals as derived from atom-atom potentials. Physical Chemistry Chemical Physics : Pccp. 13: 13238-46. PMID 21698319 DOI: 10.1039/C1Cp20440H |
0.254 |
|
2021 |
Feng CJ, Sinitskiy A, Pande V, Tokmakoff A. Computational IR Spectroscopy of Insulin Dimer Structure and Conformational Heterogeneity. The Journal of Physical Chemistry. B. PMID 33929849 DOI: 10.1021/acs.jpcb.1c00399 |
0.218 |
|
2023 |
Tysinger EP, Rai BK, Sinitskiy AV. Can We Quickly Learn to "Translate" Bioactive Molecules with Transformer Models? Journal of Chemical Information and Modeling. 63: 1734-1744. PMID 36914216 DOI: 10.1021/acs.jcim.2c01618 |
0.14 |
|
2024 |
King-Smith E, Faber FA, Reilly U, Sinitskiy AV, Yang Q, Liu B, Hyek D, Lee AA. Predictive Minisci late stage functionalization with transfer learning. Nature Communications. 15: 426. PMID 38225239 DOI: 10.1038/s41467-023-42145-1 |
0.114 |
|
2019 |
Shein A, Olenchenko V, Kamnev Y, Sinitskiy A. STRUCTURE OF FREEZING TALIK UNDER LAKE AT THE PARISENTO FIELD STATION (GYDAN PENINSULA) ACCORDING TO ELECTRICAL RESISTIVITY TOMOGRAPHY Interexpo Geo-Siberia. 2: 103-110. DOI: 10.33764/2618-981x-2019-2-2-103-110 |
0.044 |
|
2019 |
Saeva O, Yurkevich N, Sinitskiy A, Kamnev Y, Shein A, Yurkevich N. FEATURES OF ELEMENTS DISTRIBUTION IN PERMAFROST SOIL ON THE GYDAN PENINSULA Interexpo Geo-Siberia. 2: 129-136. DOI: 10.33764/2618-981x-2019-2-2-129-136 |
0.042 |
|
Hide low-probability matches. |