Name
Title | ||
|---|---|---|
Protein–ligand interfaces are polarized: discovery of a strong trend for intermolecular hydrogen bonds to favor donors on the protein side with implications for predicting and designing ligand complexes |
Abstract | ||
|---|---|---|
Understanding how proteins encode ligand specificity is fascinating and similar in importance to deciphering the genetic code. For protein–ligand recognition, the combination of an almost infinite variety of interfacial shapes and patterns of chemical groups makes the problem especially challenging. Here we analyze data across non-homologous proteins in complex with small biological ligands to address observations made in our inhibitor discovery projects: that proteins favor donating H-bonds to ligands and avoid using groups with both H-bond donor and acceptor capacity. The resulting clear and significant chemical group matching preferences elucidate the code for protein-native ligand binding, similar to the dominant patterns found in nucleic acid base-pairing. On average, 90% of the keto and carboxylate oxygens occurring in the biological ligands formed direct H-bonds to the protein. A two-fold preference was found for protein atoms to act as H-bond donors and ligand atoms to act as acceptors, and 76% of all intermolecular H-bonds involved an amine donor. Together, the tight chemical and geometric constraints associated with satisfying donor groups generate a hydrogen-bonding lock that can be matched only by ligands bearing the right acceptor-rich key. Measuring an index of H-bond preference based on the observed chemical trends proved sufficient to predict other protein–ligand complexes and can be used to guide molecular design. The resulting Hbind and Protein Recognition Index software packages are being made available for rigorously defining intermolecular H-bonds and measuring the extent to which H-bonding patterns in a given complex match the preference key. |
Year | DOI | Venue |
|---|---|---|
2018 | https://doi.org/10.1007/s10822-018-0105-2 | Journal of Computer-Aided Molecular Design |
Keywords | Field | DocType |
Interaction patterns,Drug design,Protein–ligand recognition,Specificity determinants,Ligand optimization,Lipinski’s Rule of 5 | Protein ligand,Acceptor,Ligand,Ligand (biochemistry),Computational chemistry,Chemistry,Carboxylate,Genetic code,Stereochemistry,Hydrogen bond,Intermolecular force | Journal |
Volume | Issue | ISSN |
32 | 4 | 0920-654X |
Citations | PageRank | References |
0 | 0.34 | 11 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sebastian Raschka | 1 | 27 | 5.11 |
| Alex J. Wolf | 2 | 0 | 0.34 |
| Joseph Bemister-Buffington | 3 | 0 | 0.34 |
| Leslie A. Kuhn | 4 | 72 | 9.55 |