Publications

151

Gong, J., Zhu, J., He, X., and Yang, J. Using a cyclocarbon additive as a cyclone separator to achieve fast lithiation and delithiation without dendrite growth in lithium-ion batteriesNanoscale 16, 427-437 (2024)

152

Liu, X., Zheng, L., Qin, C., Li, Y., Zhang, J. Z. H., and Sun, Z. Screening power of end-point free-energy calculations in cucurbituril host–guest systemsJ. Chem. Inf. Model. 63, 6938–6946 (2023)

153

Duan, L., Tang, B., Luo, S., Xiong, D., Wang, Q., Xu, X., and Zhang, J. Z. H. Entropy driven cooperativity effect in multi-site drug optimization targeting SARS-CoV-2 papain-like proteaseCell. Mol. Life Sci. 80, 313 (2023)

154

Yang, Y., Lyu, X., Cong, Y., Miao, T., Fang, B., Zhang, C., Shen, Q., Matthews, M., Fisher, A. J., Zhang, J. Z. H.Zhang, L., and Yang, R. A precise swaying map for how promiscuous cellobiose-2-epimerase operate bi-reactionInt. J. Biol. Macromol. 253, 127093 (2023)

155

Liu, Z., Hu, H., and Sun, X. Multistate reaction coordinate model for charge and energy transfer dynamics in the condensed phaseJ. Chem. Theory Comput. 19, 7151–7170 (2023)

156

Vindel-Zandbergen, P., Kȩdziera, D., Żółtowski, M., Kłos, J., Żuchowski, P., Felker, P. M., Lique, F., and Bačić, Z. H2O–HCN complex: A new potential energy surface and intermolecular rovibrational states from rigorous quantum calculationsJ. Chem. Phys. 159, 174302 (2023)

157

Yu, L., He, X., Fang, X., Liu, L., and Liu, J. Deep learning with geometry-enhanced molecular representation for augmentation of large-scale docking-based virtual screeningJ. Chem. Inf. Model. 63, 6501–6514 (2023)

158

Zhang, J., Kriebel, C. N., Wan, Z., Shi, M., Glaubitz, C., and He, X. Automated fragmentation quantum mechanical calculation of 15N and 13C chemical shifts in a membrane proteinJ. Chem. Theory Comput. 19, 7405–7422 (2023)

159

Jiang, Y., Wan, Z., He, X., and Yang, J. Fine-tuning electrolyte concentration and metal–organic framework surface toward actuating fast Zn2+ dehydration for aqueous Zn-ion batteriesAngew. Chem. 62, e202307274 (2023)

160

Li, Y., Yang, J., and He, X. Characterizing polyproline II conformational change of collagen superhelix unit on adsorption on gold surfaceNanoscale Adv. 5, 5322-5331 (2023)

161

Guo, J., Xue, Y., Zhao, C., Zhao, J., Gao, Z., Mei, Y., and Song, Y.-Y. Integrated separation-electrochemical detection device based on wood column for online identification of enantiomerNano Res. (2023)

162

Li, Z., Portillo-Ledesma, S., and Schlick, T. Techniques for and challenges in reconstructing 3D genome structures from 2D chromosome conformation capture dataCurr. Opin. Cell Biol. 83, 102209 (2023)

163

Zha, J. and Xia, F. Developing hybrid all-atom and ultra-coarse-grained models to investigate taxol-binding and dynein interactions on microtubulesJ. Chem. Theory Comput. 19, 5621–5632 (2023)

164

Tang, X., Wang, J., Zhang, J., Miao, Y., Zhao, Y., Gao, B., and Zhang, L. Rational design of lipase MAS1 for the long-chain substrate affinityJournal of East China University of Science and Technology, 49, 529-535 (2023)

165

Xia, S., Chen, E., and Zhang, Y. Integrated molecular modeling and machine learning for drug designJ. Chem. Theory Comput. 19, 7478–7495 (2023)

166

Zeng, J., Cao, L., & Zhu, T. (2023). Neural network potentials. In Quantum Chemistry in the Age of Machine Learning (pp. 279-294). Elsevier.

167

Wang, X., Wang, Y., Guo, M., Wang, X., Li, Y., and Zhang, J. Z. H. Assessment of an electrostatic energy-based charge model for modeling the electrostatic interactions in water solventJ. Chem. Theory Comput. (2023)

168

Bajpai, S., Petkov, B. K., Tong, M., Abreu, C. R. A., Nair, N. N., and Tuckerman, M. E. An interoperable implementation of collective-variable based enhanced sampling methods in extended phase space within the OpenMM packageJ. Comput. Chem. 44, 2166-2183 (2023)

169

Naleem, N., Abreu, C. R. A., Warmuz, K., Tong, M., Kirmizialtin, S., and Tuckerman, M. E. An exploration of machine learning models for the determination of reaction coordinates associated with conformational transitionsJ. Chem. Phys. 159, 034102 (2023)

170

Jiang, Y., Hu, Z., Yang, Y., and Peng, P., Zhong, C., Sun, H., Sun, Z., and Wang, X.-B. Beyond duality: Rationalizing repulsive coulomb barriers in host–guest cyclodextrin–dodecaborate complexesJ. Phys. Chem. Lett. 14, 6736–6742 (2023)

171

Jin, P., Wang, J.-N., Wang, X., Jia, M., Pan, H., Mei, Y., and Chen, J. Tracking the early stage of triplet-induced photodamage in a DNA dimer and oligomer containing 5-methylcytosineJ. Phys. Chem. B 127, 6878–6886 (2023)

172

Li, C., Zhang, A., Wang, L., Zuo, J., Zhu, C., Xu, J., Wang, M., and Zhang, J. Z. H. Development of a polynomial scoring function P3-Score for improved scoring and ranking powersChem. Phys. Lett. 824, 140547 (2023)

173

Zhang, J., Cong, Y., Duan, L., and Zhang, J. Z. H. Combined antibodies evusheld against the SARS-CoV-2 Omicron variants BA.1.1 and BA.5: Immune escape mechanism from molecular simulation. J. Chem. Inf. Model. 63, 5297–5308 (2023)

174

Felker, P. M. and Bačić, Z. HF trimer: 12D fully coupled quantum calculations of HF-stretch excited intramolecular and intermolecular vibrational states using contracted bases of intramolecular and intermolecular eigenstatesJ. Chem. Phys. 158, 234109 (2023)

175

Zhang, Q. and Zhu, T. Interaction of divalent cations and amino acids in bulk water: Molecular simulations with neural network potentialsChin. J. Chem. Phys. 36, 162 (2023)

176

Wang, J.-N., Xue, Y., Li, P., Pan, X., Wang, M., Shao, Y., Mo, Y., and Mei, Y. Perspective: Reference-potential methods for the study of thermodynamic properties in chemical processes: Theory, applications, and pitfallsJ. Phys. Chem. Lett. 14, 4866–4875 (2023)

177

Li, Y., Wang, Y., Zhang, R. M., He, X., and Xu, X. Comprehensive theoretical study on four typical intramolecular hydrogen shift reactions of peroxy radicals: Multireference character, recommended model chemistry, and kineticsJ. Chem. Theory Comput. 19, 3284–3302 (2023)

178

Paz, A. S. P. and Glover, W. J. Efficient analytical gradients of property-based diabatic states: Geometry optimizations for localized holesJ. Chem. Phys. 158, 204107 (2023)

179

Zhang, H., Saravanan, K. M., and Zhang, J. Z. H. DeepBindGCN: Integrating molecular vector representation with graph convolutional neural networks for protein–ligand interaction predictionMolecules 28, 4691 (2023)

180

Ma, M., Cong, Y., Zhang, J. Z. H., and Zhang, L. Rational design of a highly specific prolyl endopeptidase to activate the antihypertensive effect of peptides. ChemBioChem 24, e202200691 (2023)

181

Liu, J. and He, X. Recent advances in quantum fragmentation approaches to complex molecular and condensed-phase systems. WIREs Comput Mol Sci. 13, e1650 (2023)

182

Chin, C.-H., Zhu, T., and Zhang, J. Z. H. Theoretical study of the absorption and emission spectrum and non-adiabatic excited state dynamics of gas-phase xanthone. J. Chin. Chem. Soc. 70, 372-385 (2023)

183

Ma, M., Feng, Y., Miao, Y., Shen, Q., Tang, S., Dong, J., Zhang, J. Z. H., and Zhang, L. Revealing the sequence characteristics and molecular mechanisms of ACE inhibitory peptides by comprehensive characterization of 160,000 tetrapeptides. Foods 12, 1573 (2023)

184

Li, M., Cong, Y., Qi, Y., and Zhang, J. Z. H. Binding of berberine derivates to G-quadruplex: insight from a computational study. Phys. Chem. Chem. Phys. 25, 10741-10748 (2023)

185

Pan, X., Zhao, F., Zhang, Y., Wang, X., Xiao, X., Zhang, J. Z. H., and Ji, C. MolTaut: A tool for the rapid generation of favorable tautomer in aqueous solution. J. Chem. Inf. Model. 63, 1833–1840 (2023)

186

Liu, X., Zheng, L., Qin, C., Cong, Y., Zhang, J. Z. H., and Sun, Z. Comprehensive evaluation of end-point free energy techniques in carboxylated-pillar[6]arene host–guest binding: III. Force-field comparison, three-trajectory realization and further dielectric augmentation. Molecules 28, 2767 (2023)

187

Song, L., Xiong, L., Ni, D., Chen, W., Ji, J., Xue, J., Chen, X., Wu, X., He, X., and Liu, S. One-pot construction of β-selective quinolines with γ-quaternary carbon from vinylquinolines with active ylides via Pd/Sc/Brønsted acid co-catalysis. ACS Catal. 13, 6509–6517 (2023)

188

Yan, S., Zhu, Q., Hohl, J., Dong, A., and Schlick, T. Evolution of coronavirus frameshifting elements: Competing stem networks explain conservation and variability. Proc. Natl. Acad. Sci. U.S.A. 120, e2221324120 (2023)

189

Mao, A., Chen, C., Portillo-Ledesma, S., and Schlick, T. Effect of single-residue mutations on CTCF binding to DNA: Insights from molecular dynamics simulations. Int. J. Mol. Sci. 24, 6395 (2023)

190

Zelovich, T., Dekel, D. R., and Tuckerman, M. E. Functional groups in anion exchange membranes: Insights from Ab initio molecular dynamics. J. Membr. Sci. 678, 121638 (2023)

191

Kilgour, M., Rogal, J., and Tuckerman, M. Geometric deep learning for molecular crystal structure prediction. J. Chem. Theory Comput. (2023)

192

Zhu, X., Liu, X., Xia, F., and Liu, L. Theoretical study on the copper-catalyzed ortho-selective C-H functionalization of naphthols with α-phenyl-α-diazoesters. Molecules 28, 1767 (2023)

193

Li, F., Zhang, Y., Xia, F., and Xu, X. Development of multiscale ultra-coarse-grained models for the SARS-CoV-2 virion from cryo-electron microscopy data. Phys. Chem. Chem. Phys. 25, 12882-12890 (2023)

194

Jiang, G., Hu, Z., Bai, L., Zhong, C., Lu, S., Han, B., Sun, Z., Zhu, S., Liang, Y., and Sun, H. Origins of near-infrared-II emission tail and fluorescence enhancement of the albumin-chaperoned cyanine dyes from a multiscale computational study. J. Mater. Chem. C (2023)

195

Long, Z. and Tuckerman, M. E. Hydroxide diffusion in functionalized cylindrical nanopores as idealized models of anion exchange membrane environments: An ab initio molecular dynamics studyJ. Phys. Chem. C 127, 2792–2804 (2023)

196

Liu, Y., Liu, J., and He, X. Different pKa shifts of internal GLU8 in human β-endorphin amyloid revealing a coupling of internal ionization and stepwise fibril disassembly. J. Phys. Chem. B 127, 1089–1096 (2023)

197

Zhang, H., Saravanan, K. M., Wei, Y., Jiao, Y., Yang, Y., Pan, Y., Wu, X., and Zhang, J. Z. H. Deep learning-based bioactive therapeutic peptide generation and screeningJ. Chem. Inf. Model. 63, 835–845 (2023)

198

Huang, C.-J., Lyu, X., and Kang, J. The molecular characteristics and functional roles of microspherule protein 1 (MCRS1) in gene expression, cell proliferation, and organismic developmentCell Cycle 22, 619-632 (2023)

199

Zhang, C., Verma, P., Wang, J., Liu, Y., He, X., Wang, Y., Truhlar, D. G., and Liu, Z. Performance of screened-exchange functionals for band gaps and lattice constants of crystalsJ. Chem. Theory Comput. 19, 311–323 (2023)

200

Liu, Y., Zhang, C., Liu, Z., Truhlar, D. G., Wang, Y., and He, X. Supervised learning of a chemistry functional with damped dispersionNat Comput Sci. 3, 48-58 (2023)