Publications

301

Hu, Z., Sun, Z., and Sun, H. Simulation of negative ion photoelectron spectroscopy using a nuclear ensemble approach: Implications from a nuclear vibration effectJ. Phys. Chem. A. 125, 6621–6628 (2021)

302

Li, N., Gao, Y., Qiu, F., and Zhu, T. Benchmark force fields for the molecular dynamic simulation of G-quadruplexesMolecules. 26, 5379 (2021)

303

Rogal, J., & Tuckerman, M. E. (2021). Pathways in Classification Space: Machine Learning as a Route to Predicting Kinetics of Structural Transitions in Atomic Crystals. In Multiscale Dynamics Simulations (pp. 312-348).

304

Zhao, Y., Miao, Y., Zhi, F., Pan, Y., Zhang, J., Yang, X., Zhang, J. Z. H., and Zhang, L. Rational design of pepsin for enhanced thermostability via exploiting the guide of structural weakness on stabilityFront. Phys. 9, 755253 (2021)

305

Wang, X., Li, X., He, X., and Zhang, J. Z. H. A fixed multi-site interaction charge model for an accurate prediction of the QM/MM interactionsPhys. Chem. Chem. Phys. 23, 21001-21012 (2021)

306

Li, Z. and Zhang, J. Z. H. Quantitative analysis of ACE2 binding to coronavirus spike proteins: SARS-CoV-2 vs. SARS-CoV and RaTG13Phys. Chem. Chem. Phys. 23, 13926-13933 (2021)

307

Zeng, J., Weng, J., Zhang, Y., Xia, F., Cui, Q., and Xu, X. Conformational features of Ras: Key hydrogen-bonding interactions of Gln61 in the intermediate state during GTP hydrolysisJ. Phys. Chem. B. 125, 8805–8813 (2021)

308

Huai, Z., Tong, Z., Mei, Y., and Mo, Y. Theoretical study of the spectral differences of the Fenna–Matthews–Olson protein from different species and their mutantsJ. Phys. Chem. B. 125, 8313–8324 (2021)

309

Pan, X., Wang, H., Li, C., Zhang, J. Z. H., and Ji, C. MolGpka: A web server for small molecule pKa prediction using a graph-convolutional neural networkJ. Chem. Inf. Model. 61, 3159–3165 (2021)

310

Kaplan, M., Wang, Y., Chreifi, G., Zhang, L., Chang, Y.-W., and Jensen, G. J. Programmed flagellar ejection in caulobacter crescentus leaves PL-subcomplexesJ. Mol. Biol. 433, 1670042 (2021)

311

Li, M., Lu, W.C., and Zhang, J. Z. H. Ultra-coarse-graining modeling of liquid waterJ. Chem. Phys. 154, 224506 (2021)

312

Cong, Y., Feng, Y., Ni, H., Zhi, F., Miao, Y., Fang, B., Zhang, L., and Zhang, J. Z. H. Anchor-Locker binding mechanism of the coronavirus spike protein to human ACE2: Insights from computational analysisJ. Chem. Inf. Model. 61, 3529–3542 (2021)

313

Wen, W., Huang, D., Bao, J., Zhang, J. Z. H. Residue-specific binding mechanisms of PD-L1 to its monoclonal antibodies by computational alanine scanningPhys. Chem. Chem. Phys. 23, 15591-15600 (2021)

314

Felker, P. M., Liu, Y., Li, J., and Bačić, Z. DCl–H2O, HCl–D2O, and DCl–D2O dimers: Inter- and intramolecular vibrational states and frequency shifts from fully coupled quantum calculations on a full-dimensional neural network potential energy surfaceJ. Phys. Chem. A. 125, 6437–6449 (2021)

315

Zhao, X., Zhang, P., Li, Y., Wu, S., Li, F., Wang, Y., Liang, S., He, X., Zeng, Y., and Liu, Z. Glucose–lipopeptide conjugates reveal the role of glucose modification position in complexation and the potential of malignant melanoma therapy. J. Med. Chem. 64, 11483–11495 (2021)

316

Shen, C., Jin, X., Glover, J. W., and He, X. Accurate prediction of absorption spectral shifts of proteorhodopsin using a fragment-based quantum mechanical methodMolecules. 26, 4486 (2021)

317

Xu, M., Zhu, T., and Zhang, J. Z. H. Automatically constructed neural network potentials for molecular dynamics simulation of zinc proteinsFront. Chem. 9, 692200 (2021)

318

Tinnin, J., Aksu, H., Tong, Z., Zhang, P., Geva, E., Dunietz, B. D., Sun, X., and Cheung, M. S. CTRAMER: An open-source software package for correlating interfacial charge transfer rate constants with donor/acceptor geometries in organic photovoltaic materialsJ. Chem. Phys. 154, 214108 (2021)

319

T. Schlick, “Isabella Karle: A Crystallography Pioneer”, DNA Cell Biol. June 14, 2021. doi: 10.1089/dna.2021.0372.

320

Zelovich, T. and Tuckerman, M. E. OH− and H3O+ Diffusion in model AEMs and PEMs at low hydration: Insights from ab initio molecular dynamicsMembranes. 11, 355 (2021)

321

Lv, Y., Luo, S., Huang, K., Wang, H., Dong, S., Cong, Y., Zhang, J. Z. H., and Duan, L. Investigating effects of bridging water on the binding of neuraminidase−ligands using computational alanine scanning combined with interaction entropy methodJ. Mol. Liq. 336, 116214 (2021)

322

Luo, S., Huang, K., Zhao, X., Cong, Y., Zhang, J. Z. H., and Duan, L. Inhibition mechanism and hot-spot prediction of nine potential drugs for SARS-CoV-2 Mpro by large-scale molecular dynamic simulations combined with accurate binding free energy calculationsNanoscale. 13, 8313-8332 (2021)

323

Cao, L., Zeng, J., Xu, M., Chin, C.-H., Zhu, T., and Zhang, J. Z. H. Fragment-based ab initio molecular dynamics simulation for combustion. Molecules. 26, 3120 (2021)

324

Han, Y., He, L., Qi, Y., Zhao, Y., Pan, Y., Fang, B., Li, S., Zhang, J. Z. H., and Zhang, L. Identification of three new compounds that directly target human serine hydroxymethyltransferase 2. Chem. Biol. Drug Des. 97, 221-230 (2021)

325

Wang, F., Hu, Z., Wang, X. B., Sun, Z., and Sun, H. Assessment of DFT methods for the prediction of detachment energies and electronic structures of complex and multiply charged anions. Comput. Theor. Chem. 1202, 113295 (2021)

326

Yusufova, N., Kloetgen, A., Teater, M., Osunsade, A., Camarillo, J. M., Chin, C. R., Doane, A. S., Venters, B. J., Portillo-Ledesma, S., Conway, J., Phillip, J. M., Elemento, O., Scott, D. W., Béguelin, W., Licht, J. D., Kelleher, N. L., Staudt, L. M., Skoultchi, A. I., Keogh, M.-C., Apostolou, E., Mason, C. E., Imielinski, M., Schlick, T., David, Y., Tsirigos, A., Allis, C. D., Soshnev, A. A., Cesarman, E., and Melnick, A. M. Histone H1 loss drives lymphoma by disrupting 3D chromatin architecture. Nature. 589, 299-305 (2021)

327

Gómez-García, P. A., Portillo-Ledesma, S., Neguembor, M. V., Pesaresi, M., Oweis, W., Rohrlich, T., Wieser, S., Meshorer, E., Schlick, T., Cosma, M. P., Lakadamyali, M. Mesoscale modeling and single-nucleosome tracking reveal remodeling of clutch folding and dynamics in stem cell differentiation. Cell Rep. 34, 108614 (2021)

328

Schlick, T., Portillo-Ledesma, S., Myers, C. G., Beljak, L., Chen, J., Dakhel, S., Darling, D., Ghosh, S., Hall, J., Jan, M., Liang, E., Saju, S., Vohr, M., Wu, C., Xu, Y., Xue, E. Biomolecular modeling and simulation: A prospering multidisciplinary field. Annu. Rev. Biophys. 50, 267-301 (2021)

329

Schlick, T. and Bishop, T. C. MGO on the go: Multiscale genome symposium-annual biophysical society meeting 2021. Biophys. Rev. 13, 309–310 (2021)

330

Schlick, T. and Portillo-Ledesma, S. Biomolecular modeling thrives in the age of technology. Nat. Comput. Sci. 1, 321-331 (2021)

331

Bao, J., He, X., and Zhang, J. Z. H. DeepBSP—a machine learning method for accurate prediction of protein–ligand docking structures. Chem. Inf. Model. 61, 2231–2240 (2021)

332

Long, B., Wang, Y., Xia, Y., He, X., Bao, J. L., and Truhlar, D. G. Atmospheric kinetics: Bimolecular reactions of carbonyl oxide by a triple-level strategy. J. Am. Chem. Soc. 143, 8402–8413 (2021)

333

Wang, T., Hu, Z., Nie, X., Huang, L., Hui, M., Sun, X., and Zhang, G. Thermochromic aggregation-induced dual phosphorescence via temperature-dependent sp3 -linked donor-acceptor electronic coupling. Nat. Commun. 12, 1364 (2021)

334

Chin, C.-H., Zhu, T., and Zhang, J. Z. H. Cyclopentadienyl radical formation from the reaction of excited nitrogen atoms with benzene: A theoretical study. Phys. Chem. Chem. Phys. 23, 12408-12420 (2021)

335

Zhao, J., Blayney, A., Liu, X., Gandy, L., Jin, W., Yan, L., Ha, J.-H., Canning, A. J., Connelly, M., Yang, C., Liu, X., Xiao, Y., Cosgrove, M. S., Solmaz, S. R., Zhang, Y., Ban, D., Chen, J., Loh, S. N., and Wang, C. EGCG binds intrinsically disordered N-terminal domain of p53 and disrupts p53-MDM2 interactionNat. Commun. 12, 986 (2021)

336

Lu, J., Xia, S., Lu, J., and Zhang, Y. Dataset construction to explore chemical space with 3D geometry and deep learningJ. Chem. Inf. Model. 61,1095-1104 (2021)

337

Portillo-Ledesma, S., Tsao, L. H., Wagley, M., Lakadamyali, M., Cosma, M. P., and Schlick, T. Nucleosome clutches are regulated by chromatin internal parametersJ. Mol. Biol. 433, 166701 (2021)

338

Yin, Y., Chen, H., and Yuan, Q. Strain-induced bandgap engineering in C3N nanotubesChem. Phys. Lett. 768, 138390 (2021)

339

Wang, X, Yan, J., Zhang, H., Xu, Z., and Zhang, J. Z. H. An electrostatic energy-based charge model for molecular dynamics simulationJ. Chem. Phys. 154, 134107 (2021)

340

Chen, J., Li, N., Wang, X., Chen, J., Zhang, J. Z. H., and Zhu, T. Molecular mechanism related to the binding of fluorophores to Mango-II revealed by multiple-replica molecular dynamics simulationsPhys. Chem. Chem. Phys. 23, 10636-10649 (2021)

341

Brian, D. and Sun, X. Linear-response and nonlinear-response formulations of the instantaneous Marcus theory for nonequilibrium photoinduced charge transferJ. Chem. Theory Comput. 17, 2065–2079 (2021)

342

Brian, D., Liu, Z., Dunietz, B. D., Geva, E., and Sun, X. Three-state harmonic models for photoinduced charge transfer. J. Chem. Phys. 154, 174105 (2021)

343

Zeng, J., Zhang, L., Wang, H., and Zhu, T. Exploring the chemical space of linear alkane pyrolysis via deep potential GENeratorEnergy Fuels. 35, 762–769 (2021)

344

Duan, L., Dong, S., Huang, K., Cong, Y., Luo, S., and Zhang, J. Z. H. Computational analysis of binding free energies, hotspots and the binding mechanism of Bcl-xL/Bcl-2 binding to Bad/Bax. Phys. Chem. Chem. Phys. 23, 2025-2037 (2021)

345

Zhu, Q. and Schlick, T. A Fiedler vector scoring approach for novel RNA motif selectionJ. Phys. Chem. B. 125,1144-1155 (2021)

346

Paz, A. S. P. and Glover, W. J. Diabatic many-body expansion: Development and application to charge-transfer reactionsJ. Chem. Theory Comput. 17, 1497-1511 (2021)

347

Wang, J.-N., Liu, W., Li, P., Mo, Y., Hu, W., Zheng, J., Pan, X., Shao, Y., and Mei, Y. Accelerated computation of free energy profile at ab initio quantum mechanical/molecular mechanics accuracy via a semiempirical reference potential. 4. adaptive QM/MMJ. Chem. Theory Comput. 17, 1318-1325 (2021)

348

Schlick, T., Zhu, Q., Jain, S., and Yan, S. Structure-altering mutations of the SARS-CoV-2 frameshifting RNA element. Biophys. J. 120, 1040-1053 (2021)

349

Li, M. and Zhang, J. Z. H. Multiscale polarizable coarse-graining water models on cluster-level electrostatic dipolesPhys. Chem. Chem. Phys. 23, 8926-8935 (2021)

350

Liu, Y., Cong, Y., Zhang, C., Fang, B., Pan, Y., Li, Q., You, C., Gao, B., Zhang, J. Z. H., Zhu, T., and Zhang, LEngineering the biomimetic cofactors of NMNH for cytochrome P450 BM3 based on binding conformation refinementRSC Adv. 11, 12036-12042 (2021)