Yuqing Xiong, Xinlin Wang, Mengchao Cui, Ya-Jun Liu, Beibei Wang
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引用次数: 0
Abstract
Understanding the molecular mechanism of inhibitor binding to Prostate-specific membrane antigen (PSMA) is of fundamental importance for designing targeted drug for prostate cancer. Here we designed a series of PSMA-targeting inhibitors with distinct molecular structures, which were synthesized and characterized using both experimental and computational approaches. Microseconds of molecular dynamics simulations revealed the structural and thermodynamic details of PSMA-inhibitor interactions. Our findings emphasize the pivotal role of the inhibitor's P1 region in modulating binding affinity and selectivity, and shed light on the binding-induced conformational shifts of two key loops (the Entrance Lid and the Interface Loop). Binding energy calculations demonstrate the enthalpy-entropy balancing in the thermodynamic driving force of different inhibitors. The binding of inhibitors in monomeric form is entropy-driving, in which the solvation entropy from the binding-induced water restraints play a key role, while the binding of inhibitors in dimeric form is enthalpy-driving, due to the promiscuous PSMA-inhibitor interactions. This insights about the molecular driving force of protein-ligand binding offer valuable guidance for rational drug design targeting PSMA.
期刊介绍:
Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions.
The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.