Effective lead optimization targeting the displacement of bridging receptor–ligand water molecules

Literature Information

Publication Date 2018-08-31
DOI 10.1039/C8CP04118K
Impact Factor 3.676
Authors

Deliang Chen, Yibao Li, Mingming Zhao, Wen Tan, Xun Li, Wei Guo, Xiaolin Fan


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Abstract

Enhancing the binding affinities of ligands by means of lead modifications that displace bridging water molecules at protein–ligand interfaces is an important and widely studied lead optimization strategy. However, it is still challenging to ensure the success of this lead optimization strategy. Here we use theoretical derivations, which are then validated using reported experimental data, to identify the major determining factors in lead optimization designed to displace bridging water molecules. Our findings demonstrate that the nature of hydrogen-bond pairing between the ligand and protein polar atom(s) is the principal factor displacing interface water molecules, and not the binding strength of the water molecule. Our results also indicate that all interfacing bridging water molecules can potentially be targeted for displacement using this new approach. In summary, we show that strong–strong/weak–weak hydrogen-bond pairings of ligand atoms with protein atoms may provide useful guidance in lead modifications by designing modified ligands with higher binding affinities than their lead molecules. This study can help to increase the efficiency of rational drug design.

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Source Journal

Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
Articles per Year: 3036

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.

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