Active site identification through geometry-based and sequence profile-based calculations: Burial of catalytic clefts

Richard Greaves, Jim Warwicker

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Electrostatics calculations with proteins that are uniformly charged over volume can aid enzyme/non-enzyme discrimination. For known enzymes, such methods locate active sites to within 5% on the enzyme surface, in 77% of a test set. We now report that removing the dielectric boundary improves active site location to 80%, with optimal discrimination between enzymes and non-enzymes of around 80% specificity and 80% sensitivity. This calculation quantifies burial of solvent-accessible regions. Many of the true enzymes incorrectly assigned as non-enzymes have active sites at subunit boundaries. These are missed in monomer-based calculations. Catalytic and non-catalytic antibodies are studied in this context of active/binding site burial. Whilst catalytic antibodies, on average, have marginally higher active site burial than non-catalytic antibodies, these values are generally smaller than for non-antibody enzymes, possibly contributing to their relatively low turnover. Prediction of active site location improves further when sequence profile-based weights replace the uniform charge distribution, so that a combination of burial and amino acid conservation is assessed. Accuracy rises to 93% of active sites to within 5%, in the test set, for the optimal profile weights scheme. The equivalent value in a separate validation set is 89% to within 5%. Enzyme/non-enzyme and enzyme functional site predictions are made for structural genomics proteins, suggesting that a substantial majority of these are non-enzymes. © 2005 Elsevier Ltd. All rights reserved.
    Original languageEnglish
    Pages (from-to)547-557
    Number of pages10
    JournalJournal of molecular biology
    Volume349
    Issue number3
    DOIs
    Publication statusPublished - 10 Jun 2005

    Keywords

    • Active sites
    • Catalytic antibodies
    • Functional prediction
    • Sequence profiles
    • Structural genomics

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