98%
921
2 minutes
20
Homogeneous catalysis and biocatalysis have been widely applied in synthetic, medicinal, and energy chemistry as well as synthetic biology. Driven by developments of new computational chemistry methods and better computer hardware, computational chemistry has become an essentially indispensable mechanistic "instrument" to help understand structures and decipher reaction mechanisms in catalysis. In addition, synergy between computational and experimental chemistry deepens our mechanistic understanding, which further promotes the rational design of new catalysts. In this Account, we summarize new or deeper mechanistic insights (including isotope, dispersion, and dynamical effects) into several complex homogeneous reactions from our systematic computational studies along with subsequent experimental studies by different groups. Apart from uncovering new mechanisms in some reactions, a few computational predictions (such as excited-state heavy-atom tunneling, steric-controlled enantioswitching, and a new geminal addition mechanism) based on our mechanistic insights were further verified by ensuing experiments.The Zimmerman group developed a photoinduced triplet di-π-methane rearrangement to form cyclopropane derivatives. Recently, our computational study predicted the first excited-state heavy-atom (carbon) quantum tunneling in one triplet di-π-methane rearrangement, in which the reaction rates and C/C kinetic isotope effects (KIEs) can be enhanced by quantum tunneling at low temperatures. This unprecedented excited-state heavy-atom tunneling in a photoinduced reaction has recently been verified by an experimental C/C KIE study by the Singleton group. Such combined computational and experimental studies should open up opportunities to discover more rare excited-state heavy-atom tunneling in other photoinduced reactions. In addition, we found unexpectedly large secondary KIE values in the five-coordinate Fe(III)-catalyzed hetero-Diels-Alder pathway, even with substantial C-C bond formation, due to the non-negligible equilibrium isotope effect (EIE) derived from altered metal coordination. Therefore, these KIE values cannot reliably reflect transition-state structures for the five-coordinate metal pathway. Furthermore, our density functional theory (DFT) quasi-classical molecular dynamics (MD) simulations demonstrated that the coordination mode and/or spin state of the iron metal as well as an electric field can affect the dynamics of this reaction (e.g., the dynamically stepwise process, the entrance/exit reaction channels).Moreover, we unveiled a new reaction mechanism to account for the uncommon Ru(II)-catalyzed geminal-addition semihydrogenation and hydroboration of silyl alkynes. Our proposed key -Ru(II)-carbene intermediates derived from double migrations on the same alkyne carbon were verified by crossover experiments. Additionally, our DFT MD simulations suggested that the first hydrogen migration transition-state structures may directly and quickly form the key -Ru-carbene structures, thereby "bypassing" the second migration step. Furthermore, our extensive study revealed the origin of the enantioselectivity of the Cu(I)-catalyzed 1,3-dipolar cycloaddition of azomethine ylides with β-substituted alkenyl bicyclic heteroarenes enabled by dual coordination of both substrates. Such mechanistic insights promoted our computational predictions of the enantioselectivity reversal for the corresponding monocyclic heteroarene substrates and the regiospecific addition to the less reactive internal C═C bond of one diene substrate. These predictions were proven by our experimental collaborators. Finally, our mechanistic insights into a few other reactions are also presented. Overall, we hope that these interactive computational and experimental studies enrich our mechanistic understanding and aid in reaction development.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1021/acs.accounts.1c00774 | DOI Listing |
Oncogene
September 2025
Department of Breast Surgery, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Cholesterol biosynthesis is more activated in triple negative breast cancer (TNBC) than in other subtype breast cancer and plays essential role in facilitating TNBC. However, the regulatory network and how cholesterol biosynthesis contribute to TNBC development and progression are not well elucidated. Here, we found that reticulum membrane protein complex 2 (EMC2) is highly expressed in TNBC and predicts short survival of patients.
View Article and Find Full Text PDFJ Chem Inf Model
September 2025
School of Medicine and Warshel Institute for Computational Biology, The Chinese University of Hong Kong─Shenzhen, Shenzhen, Guangdong 518172, China.
Argonaute (Ago) is a DNA-guided programmable endonuclease with emerging applications in genome engineering, yet the rate-determining dynamic mechanisms governing its transition from guide-target hybridization to catalytic activation remain unresolved. Here, we employ molecular dynamics simulations and the Traveling-salesman-based Automated Path Searching (TAPS) approach to dissect the target DNA recognition in the middle region (nt 9-12) of Ago. We designed two paths to tackle this problem: one assumed that coordination of the target DNA backbone occurs before base-pairing between the target and guide DNA; the other hypothesized a concerted transition without preferred order between backbone-coordination and base-pairing.
View Article and Find Full Text PDFJ Neurosci
September 2025
Psychiatry, University of Minnesota, Minneapolis, Minnesota 55455
Deep brain stimulation (DBS) is an emerging treatment for otherwise treatment-refractory psychiatric disorders. It can produce remarkable clinical results in expert hands, but has not fared as well in controlled, multisite trials. That difficulty with scaling up arises in part because DBS' mechanisms are poorly understood, meaning that it is difficult to objectively identify patients likely to respond and/or to customize stimulation to match individual patients' needs.
View Article and Find Full Text PDFHeart
September 2025
Department of Biomedical Engineering, CARIM Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands
Cardiovascular disease remains a leading cause of morbidity and mortality worldwide, with conventional management often applying standardised approaches that struggle to address individual variability in increasingly complex patient populations. Computational models, both knowledge-driven and data-driven, have the potential to reshape cardiovascular medicine by offering innovative tools that integrate patient-specific information with physiological understanding or statistical inference to generate insights beyond conventional diagnostics. This review traces how computational modelling has evolved from theoretical research tools into clinical decision support systems that enable personalised cardiovascular care.
View Article and Find Full Text PDFNucleic Acids Res
September 2025
Department of Microbiology, Institute of Biology, University of Kassel, 34132 Kassel, Germany.
Casein kinase 1 (CK1) family members are crucial for ER-Golgi trafficking, calcium signalling, DNA repair, transfer RNA (tRNA) modifications, and circadian rhythmicity. Whether and how substrate interactions and kinase autophosphorylation contribute to CK1 plasticity remains largely unknown. Here, we undertake a comprehensive phylogenetic, cellular, and molecular characterization of budding yeast CK1 Hrr25 and identify human CK1 epsilon (CK1ϵ) as its ortholog.
View Article and Find Full Text PDF