The DOI matches its Crossref record; 21 of the 30 references it cites were found in a registry or an index.
HMMER web server: 2018 update
Open accessAbstract
The HMMER webserver [http://www.ebi.ac.uk/Tools/hmmer] is a free-to-use service which provides fast searches against widely used sequence databases and profile hidden Markov model (HMM) libraries using the HMMER software suite (http://hmmer.org). The results of a sequence search may be summarized in a number of ways, allowing users to view and filter the significant hits by domain architecture or taxonomy. For large scale usage, we provide an application programmatic interface (API) which has been expanded in scope, such that all result presentations are available via both HTML and API. Furthermore, we have refactored our JavaScript visualization library to provide standalone components for different result representations. These consume the aforementioned API and can be integrated into third-party websites. The range of databases that can be searched against has been expanded, adding four sequence datasets (12 in total) and one profile HMM library (6 in total). To help users explore the biological context of their results, and to discover new data resources, search results are now supplemented with cross references to other EMBL-EBI databases.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Figures



Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“MGnify sequence MGYP000936678158 has no significant sequence matches to any entry in UniRef90, nor any significant matches via a jackhmmer (47) reference proteome search, but has a predicted structure conserved across many nucleases (PDB 5YET B, TM-score 0.68; PDB 3HR4 A, TM-score 0.67)”
From Evolutionary-scale prediction of atomic level protein structure with a language model (2022) · cites this paper as [47]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
UniProt: the Universal Protein knowledgebase
Apweiler, R. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkh131 · Cited by 7,593
Accelerated Profile HMM Searches
Eddy, S. R. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002195 · Cited by 6,975
Self-citationThe Pfam protein families database: towards a more sustainable future
Finn, R. D., Coggill, P., Eberhardt, R. Y., Eddy, S. R., Mistry, J., Mitchell, A. L., Potter, S. C., Punta, M., Qureshi, M., Sangrador-Vegas, A., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1344 · Cited by 5,975
Self-citationHMMER web server: interactive sequence similarity searching
Finn, R. D., Clements, J., & Eddy, S. R. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr367 · Cited by 5,952
Self-citationEddy, S. R. (1998) · Bioinformatics · doi:10.1093/bioinformatics/14.9.755 · Cited by 5,515
Self-citationZerbino, D. R., Achuthan, P., Akanni, W., Amode, M. R., Barrell, D., Bhai, J., Billis, K., Cummins, C., Gall, A., Girón, C. G., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gkx1098 · Cited by 2,605
UniProt: the universal protein knowledgebase
The UniProt Consortium (2018) · Nucleic Acids Research · doi:10.1093/nar/gky092 · Cited by 2,043
Rawlings, N. D., Barrett, A. J., Thomas, P. D., Huang, X., Bateman, A., & Finn, R. D. (2018) · Nucleic Acids Research · doi:10.1093/nar/gkx1134 · Cited by 1,749
Self-citationInterPro in 2017—beyond protein family and domain annotations
Finn, R. D., Attwood, T. K., Babbitt, P. C., Bateman, A. G., Peer Bork, B., Bridge, A. J., Chang, H.-Y., Dosztányi, Z., El-Gebali, S., Fraser, M., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw1107 · Cited by 1,455
Self-citationFinn, R. D., Clements, J., Arndt, W. D., Miller, B. L., Wheeler, T. J., Schreiber, F., Bateman, A. G., & Eddy, S. R. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv397 · Cited by 911
Self-citation
Cited by
Sorted by citations
Items 201–300 of 1,002
Wang, S., Sun, E., Liu, Y., Yin, B., Zhang, X., Li, M., Huang, Q., Tan, C., Qian, P., Rao, V. B., et al. (2023) · Journal of Virology · doi:10.1128/jvi.00599-23 · Cited by 44
Zhong, J., Sui, W. W., Bai, X. Y., Qiu, Z. L., Li, X. G., & Zhu, J. Z. (2023) · Pesticide Biochemistry and Physiology · doi:10.1016/j.pestbp.2023.105681 · Cited by 45
Song, K. J., Choi, S., Kim, K., Hwang, H. S., Chang, E., Park, J. S., Shim, S. B., Choi, S., Heo, Y. J., Yang, D. Y., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-54434-4 · Cited by 44
“We analyzed predicted isoforms or ORF lists with additional tools as CPAT 82 , PFAM 83,84 , SignalP 85 and IUPred2A 86 .”
Kieft, R., Zhang, Y., Marand, A. P., Moran, J. D., Bridger, R., Wells, L., Schmitz, R. J., & Sabatini, R. S. (2020) · PLoS Genetics · doi:10.1371/journal.pgen.1008390 · Cited by 44
Antibacterial T6SS effectors with a VRR-Nuc domain are structure-specific nucleases
Hespanhol, J. T., Sanchez-Limache, D. E., Nicastro, G. G., Mead, L., Llontop, E. E., Chagas-Santos, G., Farah, C. S., de Souza, R. F., Galhardo, R. D. S., Lovering, A. L., et al. (2022) · eLife · doi:10.7554/elife.82437 · Cited by 45
Wang, Y., Wu, J., Yan, J., Guo, M., Xu, L., Hou, L., & Zou, Q. (2022) · BMC Genomics · doi:10.1186/s12864-021-08165-1 · Cited by 41
Isoform-resolved transcriptome of the human preimplantation embryo
Torre, D., Francoeur, N. J., Kalma, Y., Carmel, I. G., Melo, B. S., Deikus, G. Y., Allette, K., Flohr, R., Fridrikh, M., Vlachos, K., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-42558-y · Cited by 43
The European Bioinformatics Institute in 2018: tools, infrastructure and training
Cook, C. E., López, R., Stroe, O., Cochrane, G., Brooksbank, C., Birney, E., & Apweiler, R. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky1124 · Cited by 43
Transcriptomic Analysis of Four Cerianthid (Cnidaria, Ceriantharia) Venoms
Klompen, A. M. L., Macrander, J., Reitzel, A. M., & Stampar, S. N. (2020) · Marine Drugs · doi:10.3390/md18080413 · Cited by 43
Buchholz, H. H., Michelsen, M. L., Bolaños, L. M., Browne, E., Allen, M. J., & Temperton, B. (2021) · The ISME Journal · doi:10.1038/s41396-020-00872-z · Cited by 40
Rivard, E. L., Ludwig, A. G., Patel, P. H., Grandchamp, A., Arnold, S. E., Berger, A., Scott, E. M., Kelly, B. J., Mascha, G. C., Bornberg‐Bauer, E., et al. (2021) · PLoS Genetics · doi:10.1371/journal.pgen.1009787 · Cited by 47
Schwartz, S. L., Momper, L., Rangel, L. T., Magnabosco, C., Amend, J. P., & Fournier, G. P. (2022) · MicrobiologyOpen · doi:10.1002/mbo3.1258 · Cited by 42
SUV39 SET domains mediate crosstalk of heterochromatic histone marks
Stirpe, A., Guidotti, N., Northall, S. J., Kilic, S., Hainard, A., Vadas, O., Fierz, B., & Schalch, T. (2021) · eLife · doi:10.7554/elife.62682 · Cited by 44
Kruse, L. H., Weigle, A. T., Irfan, M., Martínez‐Gómez, J., Chobirko, J. D., Schaffer, J. E., Bennett, A. A., Specht, C. D., Jez, J. M., Shukla, D., et al. (2022) · The Plant Journal · doi:10.1111/tpj.15902 · Cited by 51
Kirdat, K., Tiwarekar, B., Sathe, S., & Yadav, A. (2023) · Frontiers in Microbiology · doi:10.3389/fmicb.2023.1123783 · Cited by 42
Msweli, S. M., Pakala, S. B., & Syed, K. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25189793 · Cited by 42
“…of homologous proteins on a large scale, we conducted conserved domain analysis of NF-κ B reference protein sequences (Table 4) using the National Center for Biotechnology Information (NCBI) Batch Web CD-Search Tool [55] and the Hidden Markov Model Scan (HMMSCAN) [56,57] at the HMMER website [58].”
MethodBase-modified nucleotides mediate immune signaling in bacteria
Zeng, Z., Hu, Z., Zhao, R., Rao, J., Mestre, M. R., Liu, Y., Liu, S., Feng, H., Chen, Y., He, H., et al. (2025) · Science · doi:10.1126/science.ads6055 · Cited by 42
Snake venom protection by a cocktail of varespladib and broadly neutralizing human antibodies
Glanville, J., Bellin, M., Pletnev, S. V., Zhang, B., Andrade, J. C., Kim, S., Tsao, D., Verardi, R., Bedi, R., Liao, S., et al. (2025) · Cell · doi:10.1016/j.cell.2025.03.050 · Cited by 42
Structural Conservation and Diversity of PilZ-Related Domains
Galperin, M. Y., & Chou, S. (2019) · Journal of Bacteriology · doi:10.1128/jb.00664-19 · Cited by 42
Zhang, J., Chen, J., Hu, L., Jia, R., Ma, Q., Tang, J., & Wang, Y. (2020) · Environmental Microbiology · doi:10.1111/1462-2920.15282 · Cited by 42
Kirdat, K., Tiwarekar, B., Thorat, V., Sathe, S., Shouche, Y. S., & Yadav, A. (2020) · INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY · doi:10.1099/ijsem.0.004591 · Cited by 42
Lee, S., Kim, S., Lee, G. R., Kwon, S., Woo, H., Seok, C., & Park, H. (2022) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2022.11.057 · Cited by 42
Medriano, C. A., Chan, A., Sotto, R. D., & Bae, S. (2023) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.161722 · Cited by 45
Johanndrees, O., Baggs, E. L., Uhlmann, C., Locci, F., Laessle, H., Melkonian, K., Käufer, K., Dongus, J. A., Nakagami, H., Krasileva, K. V., et al. (2022) · PLANT PHYSIOLOGY · doi:10.1093/plphys/kiac480 · Cited by 55
Towards rational computational peptide design
Chang, L., Mondal, A., & Pérez, A. (2022) · Frontiers in Bioinformatics · doi:10.3389/fbinf.2022.1046493 · Cited by 42
Ray, S., Berry, S. P., Wilson, E., Zhang, C. H., Shekhar, M., Singharoy, A., & Gaudet, R. (2023) · eLife · doi:10.7554/elife.84006 · Cited by 42
Valach, M., Moreira, S., Petitjean, C., Benz, C., Butenko, A., Flegontova, O., Nenarokova, A., Prokopchuk, G., Batstone, T., Lapébie, P., et al. (2023) · BMC Biology · doi:10.1186/s12915-023-01563-9 · Cited by 41
Gut microbiome as a key monitoring indicator for reintroductions of captive animals
Huang, G., Qi, D., Yang, Z., Hou, R., Shi, W., Zhao, F., Li, Z., Li, Y., & Wei, F. (2023) · Conservation Biology · doi:10.1111/cobi.14173 · Cited by 41
Xie, F., Zhao, S., Zhan, X., Zhou, Y., Li, Y., Zhu, W., Pope, P. B., Attwood, G. T., Jin, W., & Mao, S. (2024) · Genome biology · doi:10.1186/s13059-024-03167-0 · Cited by 43
Macroalgal deep genomics illuminate multiple paths to aquatic, photosynthetic multicellularity
Nelson, D. R., Mystikou, A., Jaiswal, A. K., Rad‐Menéndez, C., Preston, M. J., Boever, F. D., Assal, D. C. E., Daakour, S., Lomas, M. W., Twizere, J., et al. (2024) · Molecular Plant · doi:10.1016/j.molp.2024.03.011 · Cited by 41
Li, Q., Li, H., Yin, C., Wang, X., Jiang, Q., Zhang, R., Ge, F., Chen, Y., & Yang, L. (2019) · Genes · doi:10.3390/genes10070537 · Cited by 41
Genome-Wide Identification and Characterization of Glycosyltransferase Family 47 in Cotton
Wu, A., Hao, P., Wei, H., Sun, H., Cheng, S., Chen, P., Ma, Q., Gu, L., Zhang, M., Wang, H., et al. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00824 · Cited by 41
Esposito, S., Barteri, F., Casacuberta, J., Mirouze, M., Carputo, D., & Aversano, R. (2019) · Planta · doi:10.1007/s00425-019-03283-3 · Cited by 41
Muzio, F. M., Agaras, B. C., Masi, M., Tuzi, A., Evidente, A., & Valverde, C. (2020) · Environmental Microbiology · doi:10.1111/1462-2920.14925 · Cited by 41
Cabral, A., Azinheira, H. G., Talhinhas, P., Batista, D., Ramos, A. P., Silva, M. D. C., Oliveira, H., & Várzea, V. (2020) · Plants · doi:10.3390/plants9040502 · Cited by 41
AcrHub: an integrative hub for investigating, predicting and mapping anti-CRISPR proteins
Wang, J., Dai, W., Li, J., Li, Q., Xie, R., Zhang, Y., Stubenrauch, C. J., & Lithgow, T. J. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa951 · Cited by 41
Genome mining unveils a class of ribosomal peptides with two amino termini
Ren, H., Dommaraju, S. R., Huang, C., Cui, H., Pan, Y., Nešić, M., Zhu, L., Šarlah, D., Mitchell, D. A., & Zhao, H. (2023) · Nature Communications · doi:10.1038/s41467-023-37287-1 · Cited by 41
Metazoans and Intrinsic Apoptosis: An Evolutionary Analysis of the Bcl-2 Family
Suraweera, C. D., Banjara, S., Hinds, M. G., & Kvansakul, M. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23073691 · Cited by 44
Ma, D., Ding, Q., Guo, Z., Xu, C., Liang, P., Zhao, Z., Song, S., & Zheng, H. (2022) · Planta · doi:10.1007/s00425-022-03916-0 · Cited by 42
Jia, C., Guo, B., Wang, B., Li, X., Yang, T., Li, N., Wang, J., & Yu, Q. (2022) · BMC Plant Biology · doi:10.1186/s12870-022-03953-7 · Cited by 48
Liu, G., Zhang, K., Gong, H., Yang, K., Wang, X., Zhou, G., Cui, W., Chen, Y., & Yang, Y. (2023) · Biotechnology for Biofuels and Bioproducts · doi:10.1186/s13068-023-02375-3 · Cited by 44
Ma, X., Fan, J., Wu, Y., Zhao, S., Zheng, X., Sun, C., & Tan, L. (2020) · The Plant Journal · doi:10.1111/tpj.14946 · Cited by 40
Fu, X., Lu, Z., Wei, H., Zhang, J., Xu, Y., Wu, A., Ma, L., Kang, M., Lü, J., Wang, H., et al. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2020.00964 · Cited by 40
Massot, F., Gkorezis, P., Hamme, J. D. V., Marino, D. J. G., Špirović‐Trifunović, B., Vuković, G., D’Haen, J., Pintelon, I., Giulietti, A. M., Merini, L., et al. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.598507 · Cited by 40
McNaught, K. J., Wiles, E. T., & Selker, E. U. (2020) · Molecular and Cellular Biology · doi:10.1128/mcb.00003-20 · Cited by 40
Santana‐Molina, C., Henriques, V., Hornero‐Méndez, D., Devos, D. P., & Rivas‐Marín, E. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2210081119 · Cited by 39
Comparative phyloproteomics identifies conserved plasmodesmal proteins
Johnston, M. G., Breakspear, A., Samwald, S., Zhang, D., Papp, D., Faulkner, C. R., & de Keijzer, J. (2023) · Journal of Experimental Botany · doi:10.1093/jxb/erad022 · Cited by 39
Dai, C., Qu, Y., Wu, W., Li, S., Chen, Z., Lian, S., & Jing, J. (2023) · Water Research · doi:10.1016/j.watres.2023.119814 · Cited by 37
Ortíz, C. E., Peña-García, Y., Natarajan, P., Bhandari, M., Abburi, V. L., Dutta, S. K., Yadav, L. K., Stommel, J. R., Nimmakayala, P., & Reddy, U. K. (2020) · Scientific Reports · doi:10.1038/s41598-020-61057-4 · Cited by 39
Comparative analysis of MACROD1, MACROD2 and TARG1 expression, localisation and interactome
Žaja, R., Aydın, G., Lippok, B. E., Feederle, R., Lüscher, B., & Feijs, K. L. H. (2020) · Scientific Reports · doi:10.1038/s41598-020-64623-y · Cited by 43
Zhu, X., Boulet, A., Buckley, K. M., Phillips, C. B., Gammon, M. G., Oldfather, L. E., Moore, S. A., Leary, S. C., & Cobine, P. A. (2021) · eLife · doi:10.7554/elife.64690 · Cited by 40
van Esveld, S. L., Meerstein‐Kessel, L., Boshoven, C., Baaij, J. F., Barylyuk, K. V., Coolen, J. P. M., van Strien, J., Duim, R. A. J., Dutilh, B. E., Garza, D. R., et al. (2021) · mSphere · doi:10.1128/msphere.00614-21 · Cited by 39
Wang, Y., Cao, S., Sui, X., Wang, J., Geng, Y., Gao, F., & Zhou, Y.-J. (2022) · Journal of Plant Growth Regulation · doi:10.1007/s00344-021-10570-5 · Cited by 37
Multiple dsRNases Involved in Exogenous dsRNA Degradation of Fall Armyworm Spodoptera frugiperda
Yao, Y., Lin, D.-J., Cai, X.-Y., Wang, R., Hou, Y., Hu, C.-H., Gao, S., & Wang, J. (2022) · Frontiers in Physiology · doi:10.3389/fphys.2022.850022 · Cited by 38
Sharma, P. K., Mishra, S., Pandey, B., & Singh, G. P. (2023) · Frontiers in Plant Science · doi:10.3389/fpls.2023.1266699 · Cited by 38
Mosley, O. E., Gios, E., & Handley, K. M. (2024) · ISME Communications · doi:10.1093/ismeco/ycae047 · Cited by 38
Dowling, C. A., Shi, J., Toth, J. A., Quade, M. A., Smart, L. B., McCabe, P. F., Melzer, R., & Schilling, S. (2024) · The Plant Journal · doi:10.1111/tpj.16769 · Cited by 41
Li, Y., Xia, C., Wang, M., Yin, C., & Chen, X. (2020) · BMC Genomics · doi:10.1186/s12864-020-6677-y · Cited by 38
Suthers, P. F., Foster, C., Sarkar, D., Wang, L., & Maranas, C. D. (2020) · Metabolic Engineering · doi:10.1016/j.ymben.2020.11.013 · Cited by 39
Genome-Wide Identification, Evolution, and Expression Analysis of GASA Gene Family in Prunus mume
Zhang, M., Cheng, W., Wang, J., Cheng, T., & Zhang, Q. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms231810923 · Cited by 37
Wilson, S., Tank, R. K. J., Hobbs, J. K., Foster, S. J., & Garner, E. C. (2023) · mBio · doi:10.1128/mbio.01760-23 · Cited by 38
Sharma, G., Aminedi, R., Saxena, D., Gupta, A., Banerjee, P., Jain, D., & Chandran, D. (2019) · Molecular Plant Pathology · doi:10.1111/mpp.12862 · Cited by 37
Gao, C., Ma, C., Wang, H., Zhong, H., Zang, J., Zhong, R., He, F., & Yang, D. C. (2021) · Scientific Reports · doi:10.1038/s41598-021-82656-9 · Cited by 38
TISIGNER.com: web services for improving recombinant protein production
Bhandari, B. K., Lim, C. S., & Gardner, P. P. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab175 · Cited by 38
A Superfamily-wide Activity Atlas of Serine Hydrolases in Drosophila melanogaster
Kumar, K., Mhetre, A. B., Ratnaparkhi, G. S., & Kamat, S. S. (2021) · Biochemistry · doi:10.1021/acs.biochem.1c00171 · Cited by 37
Sałański, P., Kowalczyk, M., Bardowski, J. K., & Szczepankowska, A. K. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.822912 · Cited by 37
Li, Y., Wang, D., Wang, W., Yang, W., Gao, J., Zhang, W., Shan, L., Kang, M., Chen, Y., & Ma, T. (2022) · Molecular Ecology · doi:10.1111/mec.16566 · Cited by 37
Comparative analysis of the complete chloroplast genome of seven Nymphaea species
Sun, C., Chen, F., Teng, N., Yao, Y., Shan, X., & ZhongLiang, D. (2021) · Aquatic Botany · doi:10.1016/j.aquabot.2021.103353 · Cited by 36
Tomazatos, A., von Possel, R., Pekarek, N., Holm, T., Rieger, T., Baum, H., Bialonski, A., Maranda, I., Erdelyi-Molnár, I., Spînu, M., et al. (2021) · Infection Genetics and Evolution · doi:10.1016/j.meegid.2021.104704 · Cited by 36
Li, H., Zhang, S., Zhao, Y., Zhao, X., Xie, W., Guo, Y., Wang, Y., Li, K., Guo, J., Zhu, Q., et al. (2022) · Frontiers in Plant Science · doi:10.3389/fpls.2022.840397 · Cited by 36
Qiu, Z. L., Liu, S. D., Li, X. G., Zhong, J., & Zhu, J. Z. (2024) · Pesticide Biochemistry and Physiology · doi:10.1016/j.pestbp.2024.105956 · Cited by 37
The type V effectors for CRISPR/Cas-mediated genome engineering in plants
Zhang, R., Chai, N., Liu, T., Zheng, Z., Lin, Q., Xie, X., Wen, J., Yang, Z. F., Liu, Y., & Zhu, Q. (2024) · Biotechnology Advances · doi:10.1016/j.biotechadv.2024.108382 · Cited by 36
Structure‐aware deep learning model for peptide toxicity prediction
Ebrahimikondori, H., Sutherland, D., Yanai, A., Richter, A., Salehi, A., Li, C., Coombe, L., Kotkoff, M., Warren, R. L., & Birol, İ. (2024) · Protein Science · doi:10.1002/pro.5076 · Cited by 43
“…that have been applied on this dataset include BLAST (Altschul, 1997), BLAST-score (Altschul, 1997), InterProScan (Quevillon et al., 2005), HmmSearch (Potter et al., 2018), ClanTox (Naamati et al., 2009), ToxinPred (Gupta et al., 2013), ToxDL (Pan et al., 2021), and ToxIBTL (Wei et al., 2022).”
BackgroundMethodLack of long-term acclimation in Antarctic encrusting species suggests vulnerability to warming
Clark, M. S., Nieva, L. V., Hoffman, J. I., Davies, A. J., Trivedi, U. H., Turner, F. S., Ashton, G. V., & Peck, L. S. (2019) · Nature Communications · doi:10.1038/s41467-019-11348-w · Cited by 36
Insights into amphicarpy from the compact genome of the legume Amphicarpaea edgeworthii
Liu, Y., Zhang, X., Han, K., Li, R., Xu, G., Han, Y., Cui, F., Fan, S., Seim, I., Fan, G., et al. (2020) · Plant Biotechnology Journal · doi:10.1111/pbi.13520 · Cited by 36
Chen, M.-Y., Mei, Y., Chen, X., Chen, X., Xiao, D., He, K., Li, Q., Wu, M.-M., Wang, S., Zhang, F., et al. (2021) · Molecular Ecology Resources · doi:10.1111/1755-0998.13342 · Cited by 30
Wang, H., Zhong, H., Gao, C., Zang, J., & Yang, D. C. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms221910677 · Cited by 35
Li, C. L., Lü, F., Peng, W., He, P., & Zhang, H. (2024) · Environmental Science & Technology · doi:10.1021/acs.est.4c01227 · Cited by 34
oriTDB: a database of the origin-of-transfer regions of bacterial mobile genetic elements
Liu, G., Li, X., Guan, J., Tai, C., Weng, Y., Chen, X., & Ou, H. (2024) · Nucleic Acids Research · doi:10.1093/nar/gkae869 · Cited by 35
“Finally, DNA and protein homologs are identified using NCBI BLASTp ( 33 ) and HMMER3 ( 34 ) in the BLASTp and HMMER search tools.”
Cyanobacterial carboxysomes contain an unique rubisco‐activase‐like protein
Lechno‐Yossef, S., Rohnke, B. A., Belza, A. C. O., Melnicki, M. R., Montgomery, B. L., & Kerfeld, C. A. (2019) · New Phytologist · doi:10.1111/nph.16195 · Cited by 35
The flagellotropic bacteriophage YSD1 targets Salmonella Typhi with a Chi‐like protein tail fibre
Dunstan, R. A., Pickard, D., Dougan, S., Goulding, D., Cormie, C., Hardy, J. M., Li, F., Grinter, R., Harcourt, K., Yu, L., et al. (2019) · Molecular Microbiology · doi:10.1111/mmi.14396 · Cited by 35
An Oscillating MinD Protein Determines the Cellular Positioning of the Motility Machinery in Archaea
Nußbaum, P., Ithurbide, S., Walsh, J. C., Patro, M., Delpech, F., Rodríguez‐Franco, M., Curmi, P. M. G., Duggin, I. G., Quax, T. E. F., & Albers, S. (2020) · Current Biology · doi:10.1016/j.cub.2020.09.073 · Cited by 35
Blanco-Romero, E., Garrido‐Sanz, D., Rivilla, R., Redondo‐Nieto, M., & Martín, M. (2020) · Microorganisms · doi:10.3390/microorganisms8111740 · Cited by 35
Fatty Acid Desaturases: Uncovering Their Involvement in Grapevine Defence against Downy Mildew
Laureano, G., Cavaco, A. R., Matos, A. R., & Figueiredo, A. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22115473 · Cited by 35
Wu, Y., Xie, L., Jiang, Y., & Li, T. (2022) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2022.02.133 · Cited by 35
The relaxin receptor RXFP1 signals through a mechanism of autoinhibition
Erlandson, S. C., Rawson, S., Osei‐Owusu, J., Brock, K. P., Liu, X., Paulo, J. A., Mintseris, J., Gygi, S. P., Marks, D. S., Cong, X., et al. (2023) · Nature Chemical Biology · doi:10.1038/s41589-023-01321-6 · Cited by 34
Nickles, G., Oestereicher, B., Keller, N. P., & Drott, M. T. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkad573 · Cited by 32
A catalog of small proteins from the global microbiome
Duan, Y., Júnior, C. D. S., Schmidt, T., Fullam, A., de Almeida, B. L. S., Zhu, C., Kuhn, M., Zhao, X., Bork, P., & Coelho, L. P. (2024) · Nature Communications · doi:10.1038/s41467-024-51894-6 · Cited by 36
“We aligned a randomly selected 1,000 singleton clusters against the representative sequences of non-singleton clusters (i.e., those containing ≥ 2 sequences) using SWIPE with the following parameters: -a 18 -m '8 std qcovs' -p 1.”
MethodFlores‐Uribe, J., Hevroni, G., Ghai, R., Pushkarev, A., Inoue, K., Kandori, H., & Béjà, O. (2019) · Environmental Microbiology Reports · doi:10.1111/1758-2229.12730 · Cited by 33
The Mechanism of Bidirectional pH Taxis in Bacillus subtilis
Tohidifar, P., Plutz, M. J., Ordal, G., & Rao, C. V. (2019) · Journal of Bacteriology · doi:10.1128/jb.00491-19 · Cited by 34
The Unconventional Cytoplasmic Sensing Mechanism for Ethanol Chemotaxis in Bacillus subtilis
Tohidifar, P., Bodhankar, G. A., Pei, S., Cassidy, C. K., Walukiewicz, H. E., Ordal, G., Stansfeld, P. J., & Rao, C. V. (2020) · mBio · doi:10.1128/mbio.02177-20 · Cited by 35
Identification of NLR-associated Amyloid Signaling Motifs in Bacterial Genomes
Dyrka, W., Coustou, V., Daskalov, A., Lends, A., Bardin, T., Berbon, M., Kauffmann, B., Blancard, C., Salin, B., Loquet, A., et al. (2020) · Journal of Molecular Biology · doi:10.1016/j.jmb.2020.10.004 · Cited by 34
Su, W., Zhang, C., Feng, J., Feng, A., You, C., Ren, Y., Wang, D., Sun, T., Su, Y., Xu, L., et al. (2021) · Plant Physiology and Biochemistry · doi:10.1016/j.plaphy.2021.02.041 · Cited by 35
Ren, X., Dang, Y., Liu, S., Huang, K.-X., Qin, Q., Chen, X., Zhang, Y., Wang, Y., & Li, P. (2022) · Marine Drugs · doi:10.3390/md20030165 · Cited by 34
TcMYC2 regulates Pyrethrin biosynthesis in Tanacetum cinerariifolium
Zeng, T., Li, J., Xu, Z., Zhou, L., Li, J., Yu, Q., Luo, J., Chan, Z., Jongsma, M. A., Hu, H., et al. (2022) · Horticulture Research · doi:10.1093/hr/uhac178 · Cited by 34
Rangel-Piñeros, G., Almeida, A., Beracochea, M., Sakharova, E., Marz, M., Reyes, A., Hölzer, M., & Finn, R. D. (2023) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1011422 · Cited by 34
Self-citationXu, J., Xu, H., Zhao, H., Liu, H., Xu, L., & Liang, Z. (2022) · Industrial Crops and Products · doi:10.1016/j.indcrop.2022.114928 · Cited by 33
Phages are unrecognized players in the ecology of the oral pathogen Porphyromonas gingivalis
Matrishin, C. B., Haase, E. M., Dewhirst, F. E., Welch, J. L. M., Miranda‐Sánchez, F., Chen, T., MacFarland, D. C., & Kauffman, K. M. (2023) · Microbiome · doi:10.1186/s40168-023-01607-w · Cited by 36
Comparative mucomic analysis of three functionally distinct Cornu aspersum Secretions
Cerullo, A. R., McDermott, M. B., Pepi, L. E., Liu, Z.-L., Barry, D., Zhang, S., Yang, X., Chen, X., Azadi, P., Holford, M., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-41094-z · Cited by 35
How do bacterial endosymbionts work with so few genes?
McCutcheon, J. P., Garber, A. I., Spencer, N., & Warren, J. M. (2024) · PLoS Biology · doi:10.1371/journal.pbio.3002577 · Cited by 34
“Gene presence and absence were calculated from a combination of literature review, existing GenBank annotations, and by performing searches against HMMER [12] profiles in the Pfam and TIGRFAM databases.”
Method
Metadata
- Authors
- Potter, S. C., Luciani, A., Eddy, S. R., Park, Y., Lopez, R., & Finn, R. D.
- Affiliations
- European Bioinformatics Institute (GB)
- Howard Hughes Medical Institute (US)
- EMBL-EBI European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
- Corresponding author
- Finn, Robert D
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2018-06-14
- Volume
- 46
- Issue
- W1
- Pages
- W200-W204
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- PMC
- PMC6030962
- OpenAlex
- W2918063357
- Cited by
- 2,607
- References
- 30
- Citations by year
- 2026: 348 · 2025: 433 · 2024: 407 · 2023: 385 · 2022: 372 · 2021: 357 · 2020: 208 · 2019: 88 · 2018: 9
- FWCI
- 61.61
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Nucleic Acids Research (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Funders
- Howard Hughes Medical Institute (R01 HG009116)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Machine Learning in Bioinformatics
- Social Sciences › Decision Sciences › Information Systems and Management › Scientific Computing and Data Management
- Keywords
- profile hidden Markov models, sequence database searching, domain architecture, sequence databases
- MeSH terms
- Markov Chains, Software, User-Computer Interface, Sequence Analysis, Catalytic Domain, Internet, Sequence Analysis, Protein, Databases, Genetic
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review