Immucillin-H (ImmH) and immucillin-G (ImmG) were previously reported as transition-state analogues for bovine purine nucleoside phosphorylase (PNP) and are the most powerful inhibitors reported for the enzyme (K(i) = 23 and 30 pM). Sixteen new immucillins are used to probe the atomic interactions that cause tight binding for bovine PNP. Eight analogues of ImmH are identified with equilibrium dissociation constants of 1 nM or below. A novel crystal structure of bovine PNP-ImmG-PO(4) is described. Crystal structures of ImmH and ImmG bound to bovine PNP indicate that nearly every H-bond donor/acceptor site on the inhibitor is fully engaged in favorable H-bond partners. Chemical modification of the immucillins is used to quantitate the energetics for each contact at the catalytic site. Conversion of the 6-carbonyl oxygen to a 6-amino group (ImmH to ImmA) increases the dissociation constant from 23 pM to 2.6 million pM. Conversion of the 4'-imino group to a 4'-oxygen (ImmH to 9-deazainosine) increases the dissociation constant from 23 pM to 2.0 million pM. Substituents that induce small pK(a) changes at N-7 demonstrate modest loss of affinity. Thus, 8-F or 8-CH(3)-substitutions decrease affinity less than 10-fold. But a change in the deazapurine ring to convert N-7 from a H-bond donor to a H-bond acceptor (ImmH to 4-aza-3-deaza-ImmH) decreases affinity by >10(7). Introduction of a methylene bridge between 9-deazahypoxanthine and the iminoribitol (9-(1'-CH(2))-ImmH) increased the distance between leaving and oxacarbenium groups and increased K(i) to 91 000 pM. Catalytic site energetics for 20 substitutions in the transition-state analogue are analyzed in this approach. Disruption of the H-bond pattern that defines the transition-state ensemble leads to a large decrease in binding affinity. Changes in a single H-bond contact site cause up to 10.1 kcal/mol loss of binding energy, requiring a cooperative H-bond pattern in binding the transition-state analogues. Groups involved in leaving group activation and ribooxacarbenium ion stabilization are central to the H-bond network that provides transition-state stabilization and tight binding of the immucillins.
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http://dx.doi.org/10.1021/bi026636f | DOI Listing |
Molecules
November 2024
Institute of Applied Radiation Chemistry, Lodz University of Technology, Zeromskiego 116, 90-924 Lodz, Poland.
Pressurized high-temperature water attracts attention as a promising medium for chemical synthesis, biomass processing or destruction of hazardous waste. Adjustment to the desired solvent properties requires knowledge on the behavior of populations of hydrogen-bonded molecules. In this work, the interconnection between the hydrogen bond (HB) dynamics and the structural rearrangements of HB networks have been studied by molecular dynamics simulation using the modified central force flexible potential and the HB definition controlling pair interaction energy, HB length and HB angle.
View Article and Find Full Text PDFCogn Neurodyn
April 2024
Department of Physics, Central China Normal University, Wuhan, 430079 China.
Energy absorption and consumption are essential for the activity of single neurons and neuronal networks. The synchronization mode transition and energy dependence in a delay-coupled FitzHugh-Nagumo (FHN) neuronal system driven by chaotic activity are investigated in this paper. With the change of chaotic current intensity, it was found that the synchronization mode of coupled neurons undergoes synchronous state, transition state, anti-phase state, alternating asynchronous and anti-phase state, and chaotic current-induced chaotic state.
View Article and Find Full Text PDFJ Chem Theory Comput
December 2024
Laboratory for Computational Molecular Design (LCMD), Institute of Chemical Sciences and Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland.
Simulations of chemical reactivity in condensed phase systems represent an ongoing challenge in computational chemistry, where traditional quantum chemical approaches typically struggle with both the size of the system and the potential complexity of the reaction. Here, we introduce a workflow aimed at efficiently training neural network potentials (NNPs) to explore energy barriers in solution at the hybrid density functional theory level. The computational burden associated with training at the PBE0-D3(BJ) level is bypassed through the use of active and transfer learning techniques, whereas extensive sampling of the transition state region is accelerated by well-tempered metadynamics simulations using multiple time step integration.
View Article and Find Full Text PDFJ Phys Chem A
December 2024
State Key Laboratory of Molecular Reaction Dynamics, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, Liaoning 116023, China.
Using the time-dependent wave-packet approach, we calculate the first fully converged state-to-state differential cross-sections for the H + HOD( = 1-4) → H + OD reactions on a highly accurate neural network PES. It is found that, unlike the loss of memory effect observed in the product distributions for low vibrational excitation reactions, high initial OH vibrational excitation significantly influences not only the product vibrational distribution but also the angular distribution. Furthermore, for the H + HOD( = 3,4) reactions, the total integral cross-sections maintain the pronounced oscillatory structures in the = 0 probabilities at low collision energies, which originate from the prereactive van der Waals resonances.
View Article and Find Full Text PDFJ Am Chem Soc
November 2024
Organic Synthesis team, IC2MP UMR CNRS 7285 Université de Poitiers, Bat B27 - TSA 51106, 4 rue Michel Brunet, 86073 Poitiers cedex 9, France.
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