PaperBLAST
PaperBLAST Hits for yohO (35 a.a., MRIAKIGVIA...)
Show query sequence
>yohO
MRIAKIGVIALFLFMALGGIGGVMLAGYTFILRAG
Running BLASTp...
Found 2 similar proteins in the literature:
YohO / b4542 UPF0387 family protein YohO from Escherichia coli K-12 substr. MG1655 (see 2 papers)
YOHO_ECOLI / Q2EES6 UPF0387 membrane protein YohO from Escherichia coli (strain K12) (see 2 papers)
SF5M90T_2146 protein YohO from Shigella flexneri 5a str. M90T
S2341 putative membrane protein from Shigella flexneri 2a str. 2457T
100% identity, 100% coverage
- RNA-seq analysis of the influence of anaerobiosis and FNR on Shigella flexneri
Vergara-Irigaray, BMC genomics 2014 - “...PsiE -2.51 1.69 SF5M90T_1110 ycfJ conserved hypothetical protein -2.52 0.99 SF2861 hypothetical protein remnant -2.64 SF5M90T_2146 yohO membrane protein -2.96 SF5M90T_1952 putative outer membrane pore protein -2.98 SF5M90T_4307 putative inner membrane protein -3.40 SF1231 conserved hypothetical protein -3.71 -1.60 SF5M90T_427 ybaA conserved hypothetical protein -3.88 Phage...”
- Complete genome sequence and comparative genomics of Shigella flexneri serotype 2a strain 2457T
Wei, Infection and immunity 2003 - “...(Ew) Outer membrane proteins S2105 (Ec), S3197 (Ec), S2341 (St) Lytic secreted or outer membrane proteins S1443 (Me), S2105 (Ec), S2341 (St), S3197 (Ec);...”
- “...lumen S3187 (Ec) Outer membrane proteins S2105 (Ec), S2341 (St), S3197 (Ec) Surface lipoproteins, S0227 (Eo), S3870 (Eo), S3130 (Eo, partial) Surface...”
t0694 hypothetical protein from Salmonella enterica subsp. enterica serovar Typhi Ty2
STM2161 putative inner membrane protein from Salmonella typhimurium LT2
STM14_2665 protein YohO from Salmonella enterica subsp. enterica serovar Typhimurium str. 14028S
89% identity, 100% coverage
- Characterization of the yehUT two-component regulatory system of Salmonella enterica Serovar Typhi and Typhimurium
Wong, PloS one 2013 - “...The genes yehX, yehW, yehU, yehT and yehS are located on the forward strand, whilst t0694, yehV, t0699 and yehR lie on the reverse strand ( Figure 1 ) [ 26 , 46 ]. The function of these genes is not currently known, although our sequence...”
- “...bp in S . Typhimurium SL1344 (Accession number FQ312003). The surrounding genes include yehV , t0694 , yehW , yehX (upstream of yehU ) and yehS, t0699 and yehR (downstream from yehT ). B The domain organisation of the YehU and YehT proteins . YehU protein...”
- High-throughput comparison of gene fitness among related bacteria
Canals, BMC genomics 2012 - “...STM2011.1n t0860 51 43 13 12 8 10 14 17 STM14_2665 e Hypothetical protein STM2161 t0694 b2128 37 53 14 13 8 7 14 11 STM14_3017 eutA Reactivating factor for ethanolamine ammonia lyase STM2459 t0399 b2451 26 29 16 16 10 11 16 16 STM14_3267 e...”
- High-throughput comparison of gene fitness among related bacteria
Canals, BMC genomics 2012 - “...protein STM2011.1n t0860 51 43 13 12 8 10 14 17 STM14_2665 e Hypothetical protein STM2161 t0694 b2128 37 53 14 13 8 7 14 11 STM14_3017 eutA Reactivating factor for ethanolamine ammonia lyase STM2459 t0399 b2451 26 29 16 16 10 11 16 16 STM14_3267...”
- FEDS: a Novel Fluorescence-Based High-Throughput Method for Measuring DNA Supercoiling In Vivo
Duprey, mBio 2020 - “...the cutoff due to a low mean expression score ( ydeJ , rbfA , and STM14_2665 ) ( Data Set S2 ) were added to the 11 genes chosen. We cloned the promoter regions of 8 of the 14 genes in front of a promoterless gfp...”
- High-throughput comparison of gene fitness among related bacteria
Canals, BMC genomics 2012 - “...25 15 STM14_2498 Hypothetical protein STM2011.1n t0860 51 43 13 12 8 10 14 17 STM14_2665 e Hypothetical protein STM2161 t0694 b2128 37 53 14 13 8 7 14 11 STM14_3017 eutA Reactivating factor for ethanolamine ammonia lyase STM2459 t0399 b2451 26 29 16 16 10...”
For advice on how to use these tools together, see
Interactive tools for functional annotation of bacterial genomes.
The PaperBLAST database links 793,807 different protein sequences to 1,259,118 scientific articles. Searches against EuropePMC were last performed on March 13 2025.
PaperBLAST builds a database of protein sequences that are linked
to scientific articles. These links come from automated text searches
against the articles in EuropePMC
and from manually-curated information from GeneRIF, UniProtKB/Swiss-Prot,
BRENDA,
CAZy (as made available by dbCAN),
BioLiP,
CharProtDB,
MetaCyc,
EcoCyc,
TCDB,
REBASE,
the Fitness Browser,
and a subset of the European Nucleotide Archive with the /experiment tag.
Given this database and a protein sequence query,
PaperBLAST uses protein-protein BLAST
to find similar sequences with E < 0.001.
To build the database, we query EuropePMC with locus tags, with RefSeq protein
identifiers, and with UniProt
accessions. We obtain the locus tags from RefSeq or from MicrobesOnline. We use
queries of the form "locus_tag AND genus_name" to try to ensure that
the paper is actually discussing that gene. Because EuropePMC indexes
most recent biomedical papers, even if they are not open access, some
of the links may be to papers that you cannot read or that our
computers cannot read. We query each of these identifiers that
appears in the open access part of EuropePMC, as well as every locus
tag that appears in the 500 most-referenced genomes, so that a gene
may appear in the PaperBLAST results even though none of the papers
that mention it are open access. We also incorporate text-mined links
from EuropePMC that link open access articles to UniProt or RefSeq
identifiers. (This yields some additional links because EuropePMC
uses different heuristics for their text mining than we do.)
For every article that mentions a locus tag, a RefSeq protein
identifier, or a UniProt accession, we try to select one or two
snippets of text that refer to the protein. If we cannot get access to
the full text, we try to select a snippet from the abstract, but
unfortunately, unique identifiers such as locus tags are rarely
provided in abstracts.
PaperBLAST also incorporates manually-curated protein functions:
- Proteins from NCBI's RefSeq are included if a
GeneRIF
entry links the gene to an article in
PubMed®.
GeneRIF also provides a short summary of the article's claim about the
protein, which is shown instead of a snippet.
- Proteins from Swiss-Prot (the curated part of UniProt)
are included if the curators
identified experimental evidence for the protein's function (evidence
code ECO:0000269). For these proteins, the fields of the Swiss-Prot entry that
describe the protein's function are shown (with bold headings).
- Proteins from BRENDA,
a curated database of enzymes, are included if they are linked to a paper in PubMed
and their full sequence is known.
- Every protein from the non-redundant subset of
BioLiP,
a database
of ligand-binding sites and catalytic residues in protein structures, is included. Since BioLiP itself
does not include descriptions of the proteins, those are taken from the
Protein Data Bank.
Descriptions from PDB rely on the original submitter of the
structure and cannot be updated by others, so they may be less reliable.
(For SitesBLAST and Sites on a Tree, we use a larger subset of BioLiP so that every
ligand is represented among a group of structures with similar sequences, but for
PaperBLAST, we use the non-redundant set provided by BioLiP.)
- Every protein from EcoCyc, a curated
database of the proteins in Escherichia coli K-12, is included, regardless
of whether they are characterized or not.
- Proteins from the MetaCyc metabolic pathway database
are included if they are linked to a paper in PubMed and their full sequence is known.
- Proteins from the Transport Classification Database (TCDB)
are included if they have known substrate(s), have reference(s),
and are not described as uncharacterized or putative.
(Some of the references are not visible on the PaperBLAST web site.)
- Every protein from CharProtDB,
a database of experimentally characterized protein annotations, is included.
- Proteins from the CAZy database of carbohydrate-active enzymes
are included if they are associated with an Enzyme Classification number.
Even though CAZy does not provide links from individual protein sequences to papers,
these should all be experimentally-characterized proteins.
- Proteins from the REBASE database
of restriction enzymes are included if they have known specificity.
- Every protein with an evidence-based reannotation (based on mutant phenotypes)
in the Fitness Browser is included.
- Sequence-specific transcription factors (including sigma factors and DNA-binding response regulators)
with experimentally-determined DNA binding sites from the
PRODORIC database of gene regulation in prokaryotes.
- Putative transcription factors from RegPrecise
that have manually-curated predictions for their binding sites. These predictions are based on
conserved putative regulatory sites across genomes that contain similar transcription factors,
so PaperBLAST clusters the TFs at 70% identity and retains just one member of each cluster.
- Coding sequence (CDS) features from the
European Nucleotide Archive (ENA)
are included if the /experiment tag is set (implying that there is experimental evidence for the annotation),
the nucleotide entry links to paper(s) in PubMed,
and the nucleotide entry is from the STD data class
(implying that these are targeted annotated sequences, not from shotgun sequencing).
Also, to filter out genes whose transcription or translation was detected, but whose function
was not studied, nucleotide entries or papers with more than 25 such proteins are excluded.
Descriptions from ENA rely on the original submitter of the
sequence and cannot be updated by others, so they may be less reliable.
Except for GeneRIF and ENA,
the curated entries include a short curated
description of the protein's function.
For entries from BioLiP, the protein's function may not be known beyond binding to the ligand.
Many of these entries also link to articles in PubMed.
For more information see the
PaperBLAST paper (mSystems 2017)
or the code.
You can download PaperBLAST's database here.
Changes to PaperBLAST since the paper was written:
- November 2023: incorporated PRODORIC and RegPrecise. Many PRODORIC entries were not linked to a protein sequence (no UniProt identifier), so we added this information.
- February 2023: BioLiP changed their download format. PaperBLAST now includes their non-redundant subset. SitesBLAST and Sites on a Tree use a larger non-redundant subset that ensures that every ligand is represented within each cluster. This should ensure that every binding site is represented.
- June 2022: incorporated some coding sequences from ENA with the /experiment tag.
- March 2022: incorporated BioLiP.
- April 2020: incorporated TCDB.
- April 2019: EuropePMC now returns table entries in their search results. This has expanded PaperBLAST's database, but most of the new entries are of low relevance, and the resulting snippets are often just lists of locus tags with annotations.
- February 2018: the alignment page reports the conservation of the hit's functional sites (if available from from Swiss-Prot or UniProt)
- January 2018: incorporated BRENDA.
- December 2017: incorporated MetaCyc, CharProtDB, CAZy, REBASE, and the reannotations from the Fitness Browser.
- September 2017: EuropePMC no longer returns some table entries in their search results. This has shrunk PaperBLAST's database, but has also reduced the number of low-relevance hits.
Many of these changes are described in Interactive tools for functional annotation of bacterial genomes.
PaperBLAST cannot provide snippets for many of the papers that are
published in non-open-access journals. This limitation applies even if
the paper is marked as "free" on the publisher's web site and is
available in PubmedCentral or EuropePMC. If a journal that you publish
in is marked as "secret," please consider publishing elsewhere.
Many important articles are missing from PaperBLAST, either because
the article's full text is not in EuropePMC (as for many older
articles), or because the paper does not mention a protein identifier such as a locus tag, or because of PaperBLAST's heuristics. If you notice an
article that characterizes a protein's function but is missing from
PaperBLAST, please notify the curators at UniProt
or add an entry to GeneRIF.
Entries in either of these databases will eventually be incorporated
into PaperBLAST. Note that to add an entry to UniProt, you will need
to find the UniProt identifier for the protein. If the protein is not
already in UniProt, you can ask them to create an entry. To add an
entry to GeneRIF, you will need an NCBI Gene identifier, but
unfortunately many prokaryotic proteins in RefSeq do not have
corresponding Gene identifers.
References
PaperBLAST: Text-mining papers for information about homologs.
M. N. Price and A. P. Arkin (2017). mSystems, 10.1128/mSystems.00039-17.
Europe PMC in 2017.
M. Levchenko et al (2017). Nucleic Acids Research, 10.1093/nar/gkx1005.
Gene indexing: characterization and analysis of NLM's GeneRIFs.
J. A. Mitchell et al (2003). AMIA Annu Symp Proc 2003:460-464.
UniProt: the universal protein knowledgebase.
The UniProt Consortium (2016). Nucleic Acids Research, 10.1093/nar/gkw1099.
BRENDA in 2017: new perspectives and new tools in BRENDA.
S. Placzek et al (2017). Nucleic Acids Research, 10.1093/nar/gkw952.
The EcoCyc database: reflecting new knowledge about Escherichia coli K-12.
I. M. Keeseler et al (2016). Nucleic Acids Research, 10.1093/nar/gkw1003.
The MetaCyc database of metabolic pathways and enzymes.
R. Caspi et al (2018). Nucleic Acids Research, 10.1093/nar/gkx935.
CharProtDB: a database of experimentally characterized protein annotations.
R. Madupu et al (2012). Nucleic Acids Research, 10.1093/nar/gkr1133.
The carbohydrate-active enzymes database (CAZy) in 2013.
V. Lombard et al (2014). Nucleic Acids Research, 10.1093/nar/gkt1178.
The Transporter Classification Database (TCDB): recent advances
M. H. Saier, Jr. et al (2016). Nucleic Acids Research, 10.1093/nar/gkv1103.
REBASE - a database for DNA restriction and modification: enzymes, genes and genomes.
R. J. Roberts et al (2015). Nucleic Acids Research, 10.1093/nar/gku1046.
Deep annotation of protein function across diverse bacteria from mutant phenotypes.
M. N. Price et al (2016). bioRxiv, 10.1101/072470.
by Morgan Price,
Arkin group
Lawrence Berkeley National Laboratory