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NMPFamsDB: a database of novel protein families from microbial metagenomes and metatranscriptomes.
Baltoumas, Fotis A; Karatzas, Evangelos; Liu, Sirui; Ovchinnikov, Sergey; Sofianatos, Yorgos; Chen, I-Min; Kyrpides, Nikos C; Pavlopoulos, Georgios A.
  • Baltoumas FA; Institute for Fundamental Biomedical Research, BSRC "Alexander Fleming", Vari, 16672, Greece.
  • Karatzas E; Institute for Fundamental Biomedical Research, BSRC "Alexander Fleming", Vari, 16672, Greece.
  • Liu S; John Harvard Distinguished Science Fellowship Program, Harvard University, Cambridge, MA 02138, USA.
  • Ovchinnikov S; John Harvard Distinguished Science Fellowship Program, Harvard University, Cambridge, MA 02138, USA.
  • Sofianatos Y; Institute for Fundamental Biomedical Research, BSRC "Alexander Fleming", Vari, 16672, Greece.
  • Chen IM; DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720-8150, USA.
  • Kyrpides NC; DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720-8150, USA.
  • Pavlopoulos GA; Institute for Fundamental Biomedical Research, BSRC "Alexander Fleming", Vari, 16672, Greece.
Nucleic Acids Res ; 52(D1): D502-D512, 2024 Jan 05.
Article en En | MEDLINE | ID: mdl-37811892
ABSTRACT
The Novel Metagenome Protein Families Database (NMPFamsDB) is a database of metagenome- and metatranscriptome-derived protein families, whose members have no hits to proteins of reference genomes or Pfam domains. Each protein family is accompanied by multiple sequence alignments, Hidden Markov Models, taxonomic information, ecosystem and geolocation metadata, sequence and structure predictions, as well as 3D structure models predicted with AlphaFold2. In its current version, NMPFamsDB hosts over 100 000 protein families, each with at least 100 members. The reported protein families significantly expand (more than double) the number of known protein sequence clusters from reference genomes and reveal new insights into their habitat distribution, origins, functions and taxonomy. We expect NMPFamsDB to be a valuable resource for microbial proteome-wide analyses and for further discovery and characterization of novel functions. NMPFamsDB is publicly available in http//www.nmpfamsdb.org/ or https//bib.fleming.gr/NMPFamsDB.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proteínas / Bases de Datos de Proteínas / Metagenoma Tipo de estudio: Prognostic_studies Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proteínas / Bases de Datos de Proteínas / Metagenoma Tipo de estudio: Prognostic_studies Idioma: En Año: 2024 Tipo del documento: Article