Profile hidden Markov model for PETase homologues

DOI

Sixteen protein sequences for enzymes with known activity against polyethylene terephthalate (PET) were clustered using CD-HIT to derive a reduced set of twelve centroid sequences. These twelve protein sequences were aligned in a structure-guided multiple sequence alignment by T-COFFEE. A profile hidden Markov model (HMM) was derived from this multiple sequence alignment by HMMER.

The profile HMM was trimmed by selecting alignment columns that corresponded to the region between amino acid positions 32 and 274 in the PETase from Ideonella sakaiensis (IsPETase, Uniprot identifier A0A0K8P6T7)

Identifier
DOI https://doi.org/10.18419/darus-2055
Metadata Access https://darus.uni-stuttgart.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18419/darus-2055
Provenance
Creator Buchholz, Patrick C. F. (Universität Stuttgart)
Publisher DaRUS
Contributor Pleiss, Jürgen
Publication Year 2021
Rights CC0 Waiver; info:eu-repo/semantics/openAccess; https://creativecommons.org/publicdomain/zero/1.0/
OpenAccess true
Contact Pleiss, Jürgen (Universität Stuttgart)
Representation
Resource Type Dataset
Format application/octet-stream; text/tab-separated-values
Size 7416; 125180; 6272; 255
Version 1.0
Discipline Life Sciences; Medicine