Sequence and HMM libraries

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Eddy Elisée;Laurine Ducrot;Raphaël Méheust;Karine Bastard;Aurélie Fossey-Jouenne;Eric Pelletier;Jean Louis Petit;Mark Stam;Gideon Grogan;Véronique de Berardinis;Anne Zaparucha;David Vallenet;Carine Vergne-Vaxelaire

Description

This repository contains the data specified in the paper entitled "A refined picture of the native Amine Dehydrogenase family revealed by extensive biodiversity screening". It includes:1. NAD-dependent_enzymes.fa.gz - The library of 20,315,745 sequences of NADPH-dependent enzymes recovered from genomic and metagenomic sequence databases.2. ref-AmDHs17959_nr.fa.gz - The library of 17,959 ref-AmDH sequences recovered from genomic and metagenomic sequence databases. Considered as the updated nat-AmDH family.3. NAD_subfams_HMMs.tar.gz - The library of 104,686 Hidden Markov Models (HMMs) of NADPH-dependent protein subfamilies. As described in the paper, those HMMs were obtained by clustering the set uploaded here as NAD-dependent_enzymes.fa.gz and building one HMM per subfamily.4. ref-AmDHs_HMMs.tar.gz - This repertory includes the HMMs used to update the nat-AmDH family (all_ASMC_no_nad,hmm and all_ASMC_nad_dom.hmm) as well as the ones used to search for distant homologs; HMMs designed for the phylogenetic and structure-based groups built from the set uploaded here as ref-AmDHs17959_nr.fa.gz (asmc_*.hmm and phylo_*.hmm) .5. ref-AmDH_ASMC_models.tar.gz - The library of 9886 ref-AmDH models built using the ASMC pipeline.6. 72_ref-AmDH_seqs_representatives.txt.gz - Sequences of the 72 representative ref-AmDHs experimentally tested and found to be active.7. 17_nat-AmDH_seqs_specific_feature.txt.gz - Sequences of the 17 nat-AmDHs with specific feature that have been heterologously expressed and tested.

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Metrics

Dataset Index

0.5

FAIR Score

79%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Artificial Intelligence

Field

Computer Science

Domain

Physical Sciences

Confidence Score

87%

Source

Open Alex

Normalization Factors

FT

50.00

CTw

1.00

MTw

1.00