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Layla Hirsh

Researcher at Pontifical Catholic University of Peru

Publications -  10
Citations -  3749

Layla Hirsh is an academic researcher from Pontifical Catholic University of Peru. The author has contributed to research in topics: Tandem repeat & Protein Data Bank. The author has an hindex of 6, co-authored 9 publications receiving 2635 citations. Previous affiliations of Layla Hirsh include University of Padua.

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The Pfam protein families database in 2019.

TL;DR: A significant comparison to the structural classification database that led to the creation of 825 new families based on their set of uncharacterized families (EUFs) was carried out and Pfam entries were connected to the Sequence Ontology (SO) through mapping of the Pfam type definitions to SO terms.
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RepeatsDB 2.0: improved annotation, classification, search and visualization of repeat protein structures.

TL;DR: A new version of RepeatsDB is provided with an improved classification schema including high quality annotations for ∼5400 protein structures and a new classification level has been introduced on top of the existing scheme as an independent layer for sequence similarity relationships at 40%, 60% and 90% identity.
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Classification of β-hairpin repeat proteins

TL;DR: This work classified the BHR proteins, compared structures, sequences of repeat motifs, functions and distribution across the major taxonomic kingdoms of life and within organisms, and identified six different BHR folds in tandem repeat proteins of Class III (elongated structures) and one BHR fold (up-and-down β-barrel) in Class IV ("closed" structures).
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Identification of repetitive units in protein structures with ReUPred

TL;DR: ReUPred is a novel method for the fast automatic prediction of repeat units and repeat classification using an extensive Structure Repeat Unit Library (SRUL) derived from RepeatsDB that outperforms two recent state-of-the-art methods for the repeat unit identification problem.