ReviewGenome biology2009
Protein function annotation by homology-based inference.
Review in Genome biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 121 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
121 citing papers in PubMed, 228 citations in OpenAlex.
- Benchmarking protein sequence and structure search methods for remote homology detection.Genome biology · 2026Article
- Plasmodium yoelii tryptophan-rich antigen 7 mediates infected erythrocyte adhesion to splenic fibroblasts via binding to vimentin.Parasites, hosts and diseases · 2026Article
- Overcoming extrapolation challenges of deep learning by incorporating physics in protein sequence-function modeling.PLoS computational biology · 2026Article
- Article
- Functional Annotation and Molecular Characterization of a Hypothetical Protein FromEvolutionary bioinformatics online · 2026Article
- The recombinant protein of scorpion venom phospholipase A2 exhibits potential anti-leishmanial activity.Scientific reports · 2025Article
- Evaluating the significance of embedding-based protein sequence alignment with clustering and double dynamic programming for remote homology.Scientific reports · 2025Article
- Overcoming Extrapolation Challenges of Deep Learning by Incorporating Physics in Protein Sequence-Function Modeling.bioRxiv : the preprint server for biology · 2025Article
- In silico analysis of hypothetical proteins in Pseudomonas aeruginosa PAC1: Structural and functional insights.Journal, genetic engineering & biotechnology · 2025Article
- SHARK: web server for alignment-free homology assessment for intrinsically disordered and unalignable protein regions.Nucleic acids research · 2025Article
- Genome-Wide Identification and Expression Analysis of the Phosphate Transporter Gene Family inInternational journal of molecular sciences · 2025Article
- DPFunc: accurately predicting protein function via deep learning with domain-guided structure information.Nature communications · 2025Article
- Multitask Learning-Based Approaches for Protein Function Prediction.Methods in molecular biology (Clifton, N.J.) · 2025Article
- SHARK enables sensitive detection of evolutionary homologs and functional analogs in unalignable and disordered sequences.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Protein remote homology detection and structural alignment using deep learning.Nature biotechnology · 2024Article
- Investigating theACS omega · 2024Article
- Article
- Functional annotation of Candida albicans hypothetical proteins: a bioinformatics approach.Archives of microbiology · 2024Article
- Recent Progress of Protein Tertiary Structure Prediction.Molecules (Basel, Switzerland) · 2024Review
- Improving enzyme functional annotation by integrating in vitro and in silico approaches: The example of histidinol phosphate phosphatases.Protein science : a publication of the Protein Society · 2024Article
61 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 5 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With many genomes now sequenced, computational annotation methods to characterize genes and proteins from their sequence are increasingly important. The BioSapiens Network has developed tools to address all stages of this process, and here we review progress in the automated prediction of protein function based on protein sequence and structure.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.