Please use this identifier to cite or link to this item: http://223.31.159.10:8080/jspui/handle/123456789/1515
Title: Cavity architecture based modulation of ligand binding tunnels in plant START domains
Authors: Mahtha, Sanjeet Kumar
Kumari, Kamlesh
Gaur, Vineet
Yadav, Gitanjali
Keywords: Binding pockets
Deep learning
Fold prediction
Lipid binding tunnels
Oryza sativa
START Domains
Issue Date: 2023
Publisher: Elsevier B.V.
Citation: Computational and Structural Biotechnology Journal, 21: 3946-3963
Abstract: The Steroidogenic acute regulatory protein (StAR)-related lipid transfer (START) domain represents an evolutionarily conserved superfamily of lipid transfer proteins widely distributed across the tree of life. Despite significant expansion in plants, knowledge about this domain remains inadequate in plants. In this work, we explore the role of cavity architectural modulations in START protein evolution and functional diversity. We use deep-learning approaches to generate plant START domain models, followed by surface accessibility studies and a comprehensive structural investigation of the rice START family. We validate 28 rice START domain models, delineate binding cavities, measure pocket volumes, and compare these with mammalian counterparts to understand evolution of binding preferences. Overall, plant START domains retain the ancestral α/β helix-grip signature, but we find subtle variation in cavity architectures, resulting in significantly smaller ligand-binding tunnels in the plant kingdom. We identify cavity lining residues (CLRs) responsible for reduction in ancestral tunnel space, and these appear to be class specific, and unique to plants, providing a mechanism for the observed shift in domain function. For instance, mammalian cavity lining residues A135, G181 and A192 have evolved to larger CLRs across the plant kingdom, contributing to smaller sizes, minimal STARTs being the largest, while members of type-IV HD-Zip family show almost complete obliteration of lipid binding cavities, consistent with their present-day DNA binding functions. In summary, this work quantifies plant START structural & functional divergence, bridging current knowledge gaps.
Description: Accepted date: 11 August 2023
URI: https://www.sciencedirect.com/science/article/pii/S2001037023002726
http://223.31.159.10:8080/jspui/handle/123456789/1515
ISSN: 2001-0370
Appears in Collections:Institutional Publications

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