Regulation of protein-ligand binding affinity by hydrogen bond pairing

被引:509
|
作者
Chen, Deliang [1 ]
Oezguen, Numan [2 ,3 ]
Urvil, Petri [2 ,3 ]
Ferguson, Colin [4 ]
Dann, Sara M. [5 ]
Savidge, Tor C. [2 ,3 ]
机构
[1] Gannan Normal Univ, Key Lab Organopharmaceut Chem Jiangxi Prov, Chem & Chem Engn Coll, Ganzhou 341000, Jiangxi, Peoples R China
[2] Baylor Coll Med, Dept Pathol & Immunol, Houston, TX 77030 USA
[3] Texas Childrens Hosp, Texas Childrens Microbiome Ctr, Houston, TX 77030 USA
[4] Echelon Biosci Inc, Salt Lake City, UT 84108 USA
[5] Univ Texas Med Branch, Dept Internal Med, Galveston, TX 77555 USA
来源
SCIENCE ADVANCES | 2016年 / 2卷 / 03期
基金
美国国家科学基金会;
关键词
ACTIVE-SITE; SCORING FUNCTIONS; CYANURIC ACID; AMINO-ACIDS; INHIBITORS; COMPENSATION; RECOGNITION; CATALYSIS; MOLECULE; ROTATION;
D O I
10.1126/sciadv.1501240
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Hydrogen (H)-bonds potentiate diverse cellular functions by facilitating molecular interactions. The mechanism and the extent to which H-bonds regulate molecular interactions are a largely unresolved problem in biology because the H-bonding process continuously competes with bulk water. This interference may significantly alter our understanding of molecular function, for example, in the elucidation of the origin of enzymatic catalytic power. We advance this concept by showing that H-bonds regulate molecular interactions via a hitherto unappreciated donor-acceptor pairing mechanism that minimizes competition with water. On the basis of theoretical and experimental correlations between H-bond pairings and their effects on ligand binding affinity, we demonstrate that H-bonds enhance receptor-ligand interactions when both the donor and acceptor have either significantly stronger or significantly weaker H-bonding capabilities than the hydrogen and oxygen atoms in water. By contrast, mixed strong-weak H-bond pairings decrease ligand binding affinity due to interference with bulk water, offering mechanistic insight into why indiscriminate strengthening of receptor-ligand H-bonds correlates poorly with experimental binding affinity. Further support for the H-bond pairing principle is provided by the discovery and optimization of lead compounds targeting dietary melamine and Clostridium difficile toxins, which are not realized by traditional drug design methods. Synergistic H-bond pairings have therefore evolved in the natural design of high-affinity binding and provide a new conceptual framework to evaluate the H-bonding process in biological systems. Our findings may also guide wider applications of competing H-bond pairings in lead compound design and in determining the origin of enzymatic catalytic power.
引用
收藏
页数:16
相关论文
共 50 条
  • [31] Determination of intracellular protein-ligand binding affinity by competition binding in-cell NMR
    Luchinat, Enrico
    Barbieri, Letizia
    Cremonini, Matteo
    Pennestri, Matteo
    Nocentini, Alessio
    Supuran, Claudiu T.
    Banci, Lucia
    ACTA CRYSTALLOGRAPHICA SECTION D-STRUCTURAL BIOLOGY, 2021, 77 : 1270 - 1281
  • [32] Pred-binding: large-scale protein-ligand binding affinity prediction
    Shar, Piar Ali
    Tao, Weiyang
    Gao, Shuo
    Huang, Chao
    Li, Bohui
    Zhang, Wenjuan
    Shahen, Mohamed
    Zheng, Chunli
    Bai, Yaofei
    Wang, Yonghua
    JOURNAL OF ENZYME INHIBITION AND MEDICINAL CHEMISTRY, 2016, 31 (06) : 1443 - 1450
  • [33] Protein-ligand binding affinity determination by the waterLOGSY method: An optimised approach considering ligand rebinding
    Huang, Renjie
    Bonnichon, Arnaud
    Claridge, Timothy D. W.
    Leung, Ivanhoe K. H.
    SCIENTIFIC REPORTS, 2017, 7
  • [34] Protein-ligand binding affinity determination by the waterLOGSY method: An optimised approach considering ligand rebinding
    Renjie Huang
    Arnaud Bonnichon
    Timothy D. W. Claridge
    Ivanhoe K. H. Leung
    Scientific Reports, 7
  • [35] Enhancing Protein-Ligand Binding Affinity Predictions Using Neural Network Potentials
    Zariquiey, Francesc Sabanes
    Galvelis, Raimondas
    Gallicchio, Emilio
    Chodera, John D.
    Markland, Thomas E.
    De Fabritiis, Gianni
    JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2024, 64 (05) : 1481 - 1485
  • [36] SCORE: A new empirical method for estimating the binding affinity of a protein-ligand complex
    Wang, RX
    Liu, L
    Lai, LH
    Tang, YQ
    JOURNAL OF MOLECULAR MODELING, 1998, 4 (12) : 379 - 394
  • [37] SCORE: A New Empirical Method for Estimating the Binding Affinity of a Protein-Ligand Complex
    Renxiao Wang
    Liang Liu
    Luhua Lai
    Youqi Tang
    Molecular modeling annual, 1998, 4 : 379 - 394
  • [38] DLSSAffinity: protein-ligand binding affinity prediction via a deep learning model
    Wang, Huiwen
    Liu, Haoquan
    Ning, Shangbo
    Zeng, Chengwei
    Zhao, Yunjie
    PHYSICAL CHEMISTRY CHEMICAL PHYSICS, 2022, 24 (17) : 10124 - 10133
  • [39] Calculation of absolute protein-ligand binding affinity using path and endpoint approaches
    Lee, MS
    Olson, MA
    BIOPHYSICAL JOURNAL, 2006, 90 (03) : 864 - 877
  • [40] A Novel Method for Protein-Ligand Binding Affinity Prediction and the Related Descriptors Exploration
    Li, Shuyan
    Xi, Lili
    Wang, Chengqi
    Li, Jiazhong
    Lei, Beilei
    Liu, Huanxiang
    Yao, Xiaojun
    JOURNAL OF COMPUTATIONAL CHEMISTRY, 2009, 30 (06) : 900 - 909