Related references
Note: Only part of the references are listed.PANNZER-A practical tool for protein function prediction
Petri Toronen et al.
PROTEIN SCIENCE (2022)
QAUST: Protein Function Prediction Using Structure Similarity, Protein Interaction, and Functional Motifs
Fatima Zohra Smaili et al.
GENOMICS PROTEOMICS & BIOINFORMATICS (2021)
UDSMProt: universal deep sequence models for protein classification
Nils Strodthoff et al.
BIOINFORMATICS (2020)
FunFam protein families improve residue level molecular function prediction
Linus Scheibenreif et al.
BMC BIOINFORMATICS (2019)
Genomes OnLine database (GOLD) v.7: updates and new features
Supratim Mukherjee et al.
NUCLEIC ACIDS RESEARCH (2019)
The Pfam protein families database in 2019
Sara El-Gebali et al.
NUCLEIC ACIDS RESEARCH (2019)
GOLabeler: improving sequence-based large-scale protein function prediction by learning to rank
Ronghui You et al.
BIOINFORMATICS (2018)
DeepFam: deep learning based alignment-free method for protein family modeling and prediction
Seokjun Seo et al.
BIOINFORMATICS (2018)
HMMER web server: 2018 update
Simon C. Potter et al.
NUCLEIC ACIDS RESEARCH (2018)
ProLanGO: Protein Function Prediction Using Neural Machine Translation Based on a Recurrent Neural Network
Renzhi Cao et al.
MOLECULES (2017)
Accurate prediction of functional effects for variants by combining gradient tree boosting with optimal neighborhood properties
Yuliang Pan et al.
PLOS ONE (2017)
DeepQA: improving the estimation of single protein model quality with deep belief networks
Renzhi Cao et al.
BMC BIOINFORMATICS (2016)
INGA: protein function prediction combining interaction networks, domain assignments and sequence similarity
Damiano Piovesan et al.
NUCLEIC ACIDS RESEARCH (2015)
Expanded microbial genome coverage and improved protein family annotation in the COG database
Michael Y. Galperin et al.
NUCLEIC ACIDS RESEARCH (2015)
Biogeography of the ecosystems of the healthy human body
Yanjiao Zhou et al.
GENOME BIOLOGY (2013)
MS-kNN: protein function prediction by integrating multiple data sources
Liang Lan et al.
BMC BIOINFORMATICS (2013)
Fast, scalable generation of high-quality protein multiple sequence alignments using Clustal Omega
Fabian Sievers et al.
MOLECULAR SYSTEMS BIOLOGY (2011)
HMMER web server: interactive sequence similarity searching
Robert D. Finn et al.
NUCLEIC ACIDS RESEARCH (2011)
DUFs: families in search of function
Alex Bateman et al.
ACTA CRYSTALLOGRAPHICA SECTION F-STRUCTURAL BIOLOGY COMMUNICATIONS (2010)
On the hierarchical classification of G protein-coupled receptors
Matthew N. Davies et al.
BIOINFORMATICS (2007)
LOMETS: A local meta-threading-server for protein structure prediction
Sitao Wu et al.
NUCLEIC ACIDS RESEARCH (2007)
Remote homology detection based on oligomer distances
Thomas Lingner et al.
BIOINFORMATICS (2006)
Exploiting indirect neighbours and topological weight to predict protein function from protein-protein interactions
Hon Nian Chua et al.
BIOINFORMATICS (2006)
Protein homology detection by HMM-HMM comparison
J Söding
BIOINFORMATICS (2005)
GOblet: a platform for Gene Ontology annotation of anonymous sequence data
D Groth et al.
NUCLEIC ACIDS RESEARCH (2004)
GOtcha: a new method for prediction of protein function assessed by the annotation of seven genomes
DMA Martin et al.
BMC BIOINFORMATICS (2004)
SVM-Prot: web-based support vector machine software for functional classification of a protein from its primary sequence
CZ Cai et al.
NUCLEIC ACIDS RESEARCH (2003)
OntoBlast function: from sequence similarities directly to potential functional annotations by ontology terms
G Zehetner
NUCLEIC ACIDS RESEARCH (2003)
Predicting protein function from protein/protein interaction data: a probabilistic approach
Stanley Letovsky et al.
BIOINFORMATICS (2003)
Alignment-free sequence comparison - a review
S Vinga et al.
BIOINFORMATICS (2003)
Combining pairwise-sequence similarity and support vector machines for detecting remote protein evolutionary and structural relationships
L Liao et al.
JOURNAL OF COMPUTATIONAL BIOLOGY (2003)
Prediction of protein function using protein-protein interaction data
MH Deng et al.
JOURNAL OF COMPUTATIONAL BIOLOGY (2003)