Publications

251

Karashima, S., Humeniuk, A., Glover, W. J., and Suzuki, T. Ultrafast photoisomerization of ethylene studied using time-resolved extreme ultraviolet photoelectron spectroscopy. J. Phys. Chem. A (2022)

252

Zhang, D., Xia, S., and Zhang, Y. Accurate prediction of aqueous free solvation energies using 3D atomic feature-based graph neural network with transfer learningJ. Chem. Inf. Model. 62, 1840–1848 (2022)

253

Yang, C. and Zhang, Y. Delta machine learning to improve scoring-ranking-screening performances of protein–ligand scoring functions. J. Chem. Inf. Model  62, 2696–2712 (2022)

254

Cong, Y., Li, M., Qi, Y., and Zhang, J. Z. H. A fast–slow method to treat solute dynamics in explicit solventPhys. Chem. Chem. Phys. 24, 14498-14510 (2022)

255

Xiong, Y., Zeng, J., Xia, F., Cui, Q., Deng, X., and Xu, X. Conformations and binding pockets of HRas and its guanine nucleotide exchange factors complexes in the guanosine triphosphate exchange processJ. Comput. Chem. 43, 906-916 (2022)

256

Zelovich, T., Simari, C., Nicotera, I., Dekel, D. R., and Tuckerman, M. E. The impact of carbonation on hydroxide diffusion in nano-confined anion exchange membranesJ. Mater. Chem. A. 10, 11137-11149 (2022)

257

Xu, J., Xue, Y., Jian, X., Zhao, Y., Dai, Z., Xu, J., … Mei, Y., and Song, Y. Y. Understanding of chiral site-dependent enantioselective identification on plasmon-free semiconductor based SERS substrateChem. Sci. (2022)

258

Yang, L., Feng, J., Wang, J. N., Gao, Z., Xu, J., Mei, Y., and Song, Y. Y. Engineering large-scaled electrochromic semiconductor films as reproductive SERS substrates for operando investigation at the solid/liquid interfacesChin. Chem. Lett. (2022)

259

Cao, L., Zeng, J., Wang, B., Zhu, T., and Zhang, J. Z. H. Ab initio neural network MD simulation of thermal decomposition of a high energy material CL-20/TNTPhys. Chem. Chem. Phys. 24, 11801-11811 (2022)

260

Pan, X., Wang, H., Zhang, Y., Wang. X., Li, C., Ji, C., and Zhang, J. Z. H. AA-score: A new scoring function based on amino acid-specific interaction for molecular dockingJ. Chem. Inf. Model. 62, 2499–2509 (2022)

261

Zhang, X., Mao, J., Wei, M., Qi, Y., and Zhang, J. Z. H. HergSPred: Accurate classification of hERG blockers/nonblockers with machine-learning modelsJ. Chem. Inf. Model. 62, 1830–1839 (2022)

262

Lu, J. and Zhang, Y. Unified deep learning model for multitask reaction predictions with explanationJ. Chem. Inf. Model. 62, 1376–1387 (2022)

263

Li, Y., Li, Y., Ning, C., Yue, J., Zhang, C., He, X., … & Liu, Z. Discovering inhibitors of TEAD palmitate binding pocket through virtual screening and molecular dynamics simulationComput. Biol. Chem. 98, 107648 (2022)

264

Li, Z. and Zhang, J. Z. H. Mutational effect of some major COVID-19 variants on binding of the S protein to ACE2Biomolecules. 12, 572 (2022)

265

Xu, M., Felker, P. M., and Bačić, Z. H2O inside the fullerene C60: Inelastic neutron scattering spectrum from rigorous quantum calculationsJ. Chem. Phys. 156, 124101 (2022)

266

Metz, M. P., Shahbaz, M., Song, H., Vogt-Maranto, L., Tuckerman, M. E., and Szalewicz, K. Crystal structure predictions for 4-amino-2,3,6-trinitrophenol using a tailor-made first-principles-based force fieldCryst. Growth Des. 22, 1182–1195 (2022)

267

Zelovich, T. and Tuckerman, M. E. Controlling hydronium diffusivity in model proton exchange membranesJ. Phys. Chem. Lett. 13, 2245–2253 (2022)

268

Spittle, S., Poe, D., Doherty, B., Kolodziej, C., Heroux, L., Haque, M. A., … Tuckerman, M., … and Sangoro, J. Evolution of microscopic heterogeneity and dynamics in choline chloride-based deep eutectic solventsNat. Commun. 13, 219 (2022)

269

Zelovich, T., Vogt-Maranto, L., Simari, C., Nicotera, E., Hickner, M. A., Paddison, S. J., Bae, C., Dekel, D. R., and Tuckerman, M. E. Non-monotonic temperature dependence of hydroxide ion diffusion in anion exchange membranes. Chem. Mater. 34, 2133–2145 (2022)

270

Hu, A., Zhang, J.-Z., Wang, J., Li, C.-C., Yuan, M., Deng, G., … He, X., … and Song, B.-L. Cholesterylation of Smoothened is a calcium-accelerated autoreaction involving an intramolecular ester intermediateCell Res. 32, 288–301 (2022)

271

Felker, P. M. and Bačić, Z. Intermolecular rovibrational states of the H2O–CO2 and D2O–CO2 van der Waals complexesJ. Chem. Phys. 156, 064301 (2022)

272

Zheng, L., Yang, Y., Bao, J., He, L., Qi, Y., and Zhang, J. Z. H. Discovery of novel inhibitors of CDK2 using docking and physics- based binding free energy calculationChem. Biol. Drug Des. 1– 12 (2022)

273

Jin, S., Wang, J.-N., Xue, Y., Li, P., and Mei, Y. Selectivity of parvalbumin B protein binding to Ca2+ and Mg2+ at an ab initio QM/MM level using the reference-potential methodChin. J. Chem. Phys. 34, 741 (2022)

274

Miao, Y., Ni, H., Zhang, X., Zhi, F., Long, X., Yang, X., He, X., and Zhang, L. Investigating mechanism of sweetness intensity differences through dynamic analysis of sweetener–T1R2–membrane systemsFood Chem. 374, 131807 (2022)

275

Qiu L., Song J., Zhang J.Z.H. (2022) Computational Alanine Scanning Reveals Common Features of TCR/pMHC Recognition in HLA-DQ8-Associated Celiac Disease. In: Vanhaelen Q. (eds) Computational Methods for Estimating the Kinetic Parameters of Biological Systems. Methods in Molecular Biology, vol 2385. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1767-0_13

276

Wei, M., Zhang, X., Pan, X., Wang, B., Ji, C., Qi, Y., and Zhang, J. Z. H. HobPre: accurate prediction of human oral bioavailability for small moleculesJ. Cheminform. 14, 1 (2022)

277

Tinnin, J., Bhandari, S., Zhang, P., Geva, E., Dunietz, B. D., Sun, X., and Cheung, M. S. Correlating interfacial charge transfer rates with interfacial molecular structure in the tetraphenyldibenzoperiflanthene/C70 organic photovoltaic systemJ. Phys. Chem. Lett. 13, 763–769 (2022)

278

 Kleimeier, N. F., Liu, Y., Turner, A. M., Young, L. A., Chin, C.-H., Yang, T., He, X., Lo, J., Cheng, B. M., and Kaiser, R. I. Excited state photochemically driven surface formation of benzene from acetylene ices on Pluto and in the outer solar systemPhys. Chem. Chem. Phys. 24, 1424-1436 (2022)

279

Qu, K., Xu, J., Xue, Y., Guo, J., Gao, Z., Song, Y.-Y., and Mei, Y. Near infrared light-driven photothermal effect on homochiral Au/TiO2 nanotube arrays for enantioselective desorptionAnal. Chem. 94, 588–592 (2022)

280

Tuckerman, M. E. The curse of dimensionality loses its powerNat. Comput. Sci. 2, 6–7 (2022)

281

Swygert, S. G., Lin, D., Portillo-Ledesma, S., Lin, P.-Y., Hunt, D. R., Kao, C.-F., Schlick, T., Noble, W. S., Tsukiyama, T. Local chromatin fiber folding represses transcription and loop extrusion in quiescent cellseLife. 10, e72062 (2021)

282

Brian, D. and Sun, X. Charge-transfer landscape manifesting the structure–rate relationship in the condensed phase via machine learningJ. Phys. Chem. B. 125, 13267–13278 (2021)

283

Hu, Z., Brian, D., and Sun, X. Multi-state harmonic models with globally shared bath for nonadiabatic dynamics in the condensed phase. J. Chem. Phys. 155, 124105 (2021)

284

Zhao, X., Luo, S., Huang, K., Xiong, D., Zhang, J. Z. H., and Duan, L. Targeting mechanism for SARS-CoV-2 in silico: interaction and key groups of TMPRSS2 toward four potential drugsNanoscale. 13, 19218-19237 (2021)

285

Li, M., Lu, W.C., and Zhang, J. Z.H. Introducing the effective polarizable bond (EPB) model in DNA simulationsChem. Phys. Lett. 785, 139160 (2021)

286

Liu, J., Yang, J., Zeng, X. C., Xantheas, S. S., Yagi, K., and He, X. Towards complete assignment of the infrared spectrum of the protonated water cluster H+(H2O)21Nat. Commun. 12, 6141 (2021)

287

Brian, D. and Sun, X. Generalized quantum master equation: A tutorial review and recent advances. Chin. J. Chem. Phys. 34, 497 (2021)

288

Dong, G., Hu, Z., Sun, X., and Dong, H. Structural reconstruction of optically invisible state in a single molecule via scanning tunneling microscopeJ. Phys. Chem. Lett. 12, 10034–10039 (2021)

289

Zhu, X., Hu, C. T., Erriah, B., Vogt-Maranto, L., Yang, J., Yang, Y., Qiu, M., Fellah, N., Tuckerman, M. E., Ward, M. D., and Kahr, B. Imidacloprid crystal polymorphs for disease vector control and pollinator protection. J. Am. Chem. Soc. 143, 17144–17152 (2021)

290

Abreu, C. R. A. and Tuckerman, M. E. Multiple timescale molecular dynamics with very large time steps: avoidance of resonancesEur. Phys. J. B. 94, 231 (2021)

291

Dai, D., Wang, X., Liu, Y., Yang, X.-L., Glaubitz, C., Denysenkov, V., He, X., Prisner, T., and Mao, J. Room-temperature dynamic nuclear polarization enhanced NMR spectroscopy of small biological molecules in waterNat. Commun. 12, 6880 (2021)

292

Xu, M., Zhu, T., and Zhang, J. Z. H. Automated construction of neural network potential energy surface: The enhanced self-organizing incremental neural network deep potential method. J. Chem. Inf. Model. 61, 5425–5437 (2021)

293

 Li, M., Cong, Y., Qi, Y., and Zhang, J. Z. H. Computational insights into the binding mechanism of OxyS sRNA with chaperone protein HfqBiomolecules. 11, 1653 (2021)

294

Shen, Z., Peng, S., and Glover, W. J. Flexible boundary layer using exchange for embedding theories. II. QM/MM dynamics of the hydrated electronJ. Chem. Phys. 155, 224113 (2021)

295

Shen,  Z. and Glover, W. J. Flexible boundary layer using exchange for embedding theories. I. Theory and implementationJ. Chem. Phys. 155, 224112 (2021) 

296

Paz, A. S., Baleeva, N. S., and Glover, W. J. Active orbital preservation for multiconfigurational self-consistent fieldJ. Chem. Phys. 155, 071103 (2021)

297

Yang, C. and Zhang, Y. Lin_F9: A linear empirical scoring function for protein–ligand dockingJ. Chem. Inf. Model. 61, 4630–4644 (2021)

298

Pan, X., Yang, J., Van, R., Epifanovsky, E., Ho, J., Huang, J., Pu, J., Mei, Y., Nam, K., and Shao, Y. Machine-learning-assisted free energy simulation of solution-phase and enzyme reactionsJ. Chem. Theory Comput. 17, 5745–5758 (2021)

299

Atsango, A. O., Tuckerman, M. E., and Markland, T. E. Characterizing and contrasting structural proton transport mechanisms in azole hydrogen bond networks using ab initio molecular dynamicsJ. Phys. Chem. Lett. 12, 8749–8756 (2021)

300

Chan, E. J., Shtukenberg, A. G., Tuckerman, M. E., and Kahr, B. Crystal structure prediction as a tool for identifying components of disordered structures from powder diffraction: A case study of benzamide IICryst. Growth Des. 21, 5544–5557 (2021)