Generic placeholder image

Current Medicinal Chemistry


ISSN (Print): 0929-8673
ISSN (Online): 1875-533X

Review Article

PASTA in Penicillin Binding Proteins and Serine/Threonine Kinases: A Recipe of Structural, Dynamic and Binding Properties

Author(s): Luisa Calvanese, Lucia Falcigno, Flavia Squeglia, Gabriella D’Auria* and Rita Berisio

Volume 24, Issue 36, 2017

Page: [4038 - 4056] Pages: 19

DOI: 10.2174/0929867324666170216112746

Price: $65


Background: Penicillin binding proteins (PBPs) and Serine Threonine kinases (STPKs) are two classes of bacterial enzymes whose involvement in a series of vital processes in bacterial growth and division is well assessed. Many PBPs and STPKs show linked an ancillary domain named PASTA, whose functional role is not completely deciphered so far. It has been proposed that PASTAs are sensor modules that by binding opportune ligands (i.e. muropeptides) activate the cognate proteins to their functions. However, based on recent data, the sensor annotation sounds true for PASTA from STPKs, and false for PASTA from PBPs.

Objective: Different PASTA domains, belonging or not to different protein classes, sharing or not appreciable sequence identities, always show identical folds. This survey of the structural, binding and dynamic properties of PASTA domains pursues the reasons why identical topologies may turn in different roles.

Results: Amino acid compositions, total charges and distribution of the hydrophobic/hydrophilic patches on the surface, significantly vary among PASTAs from STPKs and PBPs and appear to correlate with different functions. A possible criterion to discriminate between PASTA modules of STPKs or PBPs solely based on their sequences is proposed. Possibly reflecting different species as well as functional roles and evolutionary profile, our routine represents a fast even though approximate method to distinguish between PASTA belonging to different classes.

Keywords: PASTA domain, functional annotation, sequence, fold, protein structure, dynamics, PBPs.

Rights & Permissions Print Export Cite as
© 2023 Bentham Science Publishers | Privacy Policy