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Structure-assisted redesign of a protein-zinc-binding site with femtomolar affinity.

ABSTRACT: We have inserted a fourth protein ligand into the zinc coordination polyhedron of carbonic anhydrase II (CAII) that increases metal affinity 200-fold (Kd = 20 fM). The three-dimensional structures of threonine-199-->aspartate (T199D) and threonine-199-->glutamate (T199E) CAIIs, determined by x-ray crystallographic methods to resolutions of 2.35 Angstrum and 2.2 Angstrum, respectively, reveal a tetrahedral metal-binding site consisting of H94, H96, H119, and the engineered carboxylate side chain, which displaces zinc-bound hydroxide. Although the stereochemistry of neither engineered carboxylate-zinc interaction is comparable to that found in naturally occurring protein zinc-binding sites, protein-zinc affinity is enhanced in T199E CAII demonstrating that ligand-metal separation is a significant determinant of carboxylate-zinc affinity. In contrast, the three-dimensional structure of threonine-199-->histidine (T199H) CAII, determined to 2.25-Angstrum resolution, indicates that the engineered imidazole side chain rotates away from the metal and does not coordinate to zinc; this results in a weaker zinc-binding site. All three of these substitutions nearly obliterate CO2 hydrase activity, consistent with the role of zinc-bound hydroxide as catalytic nucleophile. The engineering of an additional protein ligand represents a general approach for increasing protein-metal affinity if the side chain can adopt a reasonable conformation and achieve inner-sphere zinc coordination. Moreover, this structure-assisted design approach may be effective in the development of high-sensitivity metal ion biosensors.

SUBMITTER: Ippolito JA

PROVIDER: S-EPMC41839 | biostudies-other | 1995 May

REPOSITORIES: biostudies-other

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Structure-assisted redesign of a protein-zinc-binding site with femtomolar affinity.

Ippolito J A JA Baird T T TT McGee S A SA Christianson D W DW Fierke C A CA

Proceedings of the National Academy of Sciences of the United States of America 19950501 11

We have inserted a fourth protein ligand into the zinc coordination polyhedron of carbonic anhydrase II (CAII) that increases metal affinity 200-fold (Kd = 20 fM). The three-dimensional structures of threonine-199-->aspartate (T199D) and threonine-199-->glutamate (T199E) CAIIs, determined by x-ray crystallographic methods to resolutions of 2.35 Angstrum and 2.2 Angstrum, respectively, reveal a tetrahedral metal-binding site consisting of H94, H96, H119, and the engineered carboxylate side chain, ...[more]

PMID: 7761440

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Project description:Protein mutations, especially those which occur in the binding site, play an important role in inter-individual drug response and may alter binding affinity and thus impact the drug's efficacy and side effects. Unfortunately, large-scale experimental screening of ligand-binding against protein variants is still time-consuming and expensive. Alternatively, in silico approaches can play a role in guiding those experiments. Methods ranging from computationally cheaper machine learning (ML) to the more expensive molecular dynamics have been applied to accurately predict the mutation effects. However, these effects have been mostly studied on limited and small datasets, while ideally a large dataset of binding affinity changes due to binding site mutations is needed. In this work, we used the PSnpBind database with six hundred thousand docking experiments to train a machine learning model predicting protein-ligand binding affinity for both wild-type proteins and their variants with a single-point mutation in the binding site. A numerical representation of the protein, binding site, mutation, and ligand information was encoded using 256 features, half of them were manually selected based on domain knowledge. A machine learning approach composed of two regression models is proposed, the first predicting wild-type protein-ligand binding affinity while the second predicting the mutated protein-ligand binding affinity. The best performing models reported an RMSE value within 0.5 [Formula: see text] 0.6 kcal/mol-1 on an independent test set with an R2 value of 0.87 [Formula: see text] 0.90. We report an improvement in the prediction performance compared to several reported models developed for protein-ligand binding affinity prediction. The obtained models can be used as a complementary method in early-stage drug discovery. They can be applied to rapidly obtain a better overview of the ligand binding affinity changes across protein variants carried by people in the population and narrow down the search space where more time-demanding methods can be used to identify potential leads that achieve a better affinity for all protein variants.

Dataset Information

Structure-assisted redesign of a protein-zinc-binding site with femtomolar affinity.

Publications

Structure-assisted redesign of a protein-zinc-binding site with femtomolar affinity.

Similar Datasets

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