The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.
Comparison of insect and human cytochrome b561 proteins: Insights into candidate ferric reductases in insects
Open accessPublished version of a preprint
Abstract
Cytochrome b561 (cytb561) proteins comprise a family of transmembrane oxidoreductases that transfer single electrons across a membrane. Most eukaryotic species, including insects, possess multiple cytb561 homologs. To learn more about this protein family in insects, we carried out a bioinformatics-based investigation of cytb561 family members from nine species representing eight insect orders. We performed a phylogenetic analysis to classify insect cytb561 ortholog groups. We then conducted sequence analyses and analyzed protein models to predict structural elements that may impact the biological functions and localization of these proteins, with a focus on possible ferric reductase activity. Our study revealed three ortholog groups, designated CG1275, Nemy, and CG8399, and a fourth group of less-conserved genes. We found that CG1275 and Nemy proteins are similar to a human ferric reductase, duodenal cytochrome b561 (Dcytb), and have many conserved amino acid residues that function in substrate binding in Dcytb. Notably, CG1275 and Nemy proteins contain a conserved histidine and other residues that play a role in ferric ion reduction by Dcytb. Nemy proteins were distinguished by a novel cysteine-rich cytoplasmic loop sequence. CG8399 orthologs are similar to a putative ferric reductase in humans, stromal cell-derived receptor 2. Like other members of the CYBDOM class of cytb561 proteins, these proteins contain reeler, DOMON, and cytb561 domains. Drosophila melanogaster CG8399 is the only insect cytb561 with known ferric reductase activity. Our investigation of the DOMON domain in CG8399 proteins revealed a probable heme-binding site and a possible site for ferric reduction. The fourth group includes a subgroup of proteins with a conserved “KXXXXKXH” non-cytoplasmic loop motif that may be a substrate binding site and is present in a potential ferric reductase, human tumor suppressor cytochrome b561. This study provides a foundation for future investigations of the biological functions of cytb561 genes in insects.
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
![Fig 1 Phylogenetic tree of insect and human cytb561 proteins. A phylogenetic analysis of cytb561s from nine species of insects (A. gambiae [Ag], A. mellifera [Am], A. pisum [Ap], C. felis [Cf], D. melanogaster [Dm], T. castaneum [Tc], P. humanus corporis [Ph], P. xuthus [Px], and Z. nevadensis [Zn]), humans (Hs), and a species of lancelet (B. floridae) (Bf) was performed with the maximum likelihood method. An outgroup sequence from T. adhaerens (Ta) was used for rooting the tree. Bootstrap values greater than 70% are shown. Three insect ortholog groups (with one-to-one orthologs in most or all insect species) were identified: CG1275, Nemy, and CG8399. The remaining genes formed a fourth group that has no one-to-one orthologs but includes many species-specific gene expansions. The bootstrap values that support groups of interest are marked with red circles. A branch length scale bar indicates one substitution per site. Of the Group 4 sequences, seven are more similar to human TScytb than any D. melanogaster cytb561s and are referred to as subgroup 4A, whereas the remaining Group 4 proteins belong to subgroup 4B. (Note that the 4A and 4B subgroups are based on sequence comparisons rather than phylogenetic relationship.).](/paper-figures/436ff65b867940bb95084dea33a7c1bd/comparison-of-insect-and-human-cytochrome-b561-proteins-insights-into-candidate-figure-1.jpg)




![Fig 6 Heme binding by Dcytb and D. melanogaster CG1275 and Nemy. AlphaFold structures of D. melanogaster CG1275 and Nemy were overlayed with Dcytb (5ZLG) using Chimera Matchmaker. Dcytb loops are in tan and helices are shown in red (helix 2), yellow (helix 3), green (helix 4), dark blue (helix 5), and purple (helix 6). CG1275 is in pale pink, and Nemy is in pale blue. Ascorbate (ASC) in black stick, heme in tan stick (with iron shown as orange spheres), and zinc (Zn2+) ion coordination in purple are from the 5ZLG structure. Select side chains are shown in stick form and are labeled by position relative to conserved heme-coordinating histidines with Dcytb amino acid numbering in parentheses. Key glycines are shown in black ribbon. Stick side chains, ascorbate, and heme have oxygen in red and nitrogen in blue. Hydrogen bonds shown as cyan dashed lines, including to the A and D heme-propionates (labeled as in [18]). Water molecules shown as red spheres. A) Cytoplasmic heme region. B) Non-cytoplasmic heme region. Hydrogen bonds predicted by ChimeraX or observed in Dcytb structure (Asn115 to D heme-propionate; Glu180 to A heme-propionate, [18]).](/paper-figures/c1c54f5c920e4627a68459d18020ed83/comparison-of-insect-and-human-cytochrome-b561-proteins-insights-into-candidate-figure-6.jpg)





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.
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
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms
Kumar, S., Stecher, G., Li, M., Knyaz, C., & Tamura, K. (2018) · Molecular Biology and Evolution · doi:10.1093/molbev/msy096 · Cited by 37,529
Fast, scalable generation of high‐quality protein multiple sequence alignments using Clustal Omega
Sievers, F., Wilm, A., Dineen, D., Gibson, T. J., Karplus, K., Li, W., Lopez, R., McWilliam, H., Remmert, M., Söding, J., et al. (2011) · Molecular Systems Biology · doi:10.1038/msb.2011.75 · Cited by 15,355
Database resources of the National Center for Biotechnology Information: update
Wheeler, D. L. (2004) · Nucleic Acids Research · doi:10.1093/nar/gkh073 · Cited by 10,641
Jalview Version 2—a multiple sequence alignment editor and analysis workbench
Waterhouse, A. M., Procter, J. B., Martin, D. M. A., Clamp, M., & Barton, G. J. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp033 · Cited by 10,235
UCSF ChimeraX: Structure visualization for researchers, educators, and developers
Pettersen, E. F., Goddard, T. D., Huang, C. C., Meng, E. C., Couch, G. S., Croll, T. I., Morris, J. H., & Ferrin, T. E. (2021) · Protein Science · doi:10.1002/pro.3943 · Cited by 9,514
Varadi, M., Anyango, S., Deshpande, M., Nair, S., Natassia, C., Yordanova, G., Yuan, D., Stroe, O., Wood, G., Laydon, A., et al. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkab1061 · Cited by 7,850
UCSF ChimeraX: Meeting modern challenges in visualization and analysis
Goddard, T. D., Huang, C. C., Meng, E. C., Pettersen, E. F., Couch, G. S., Morris, J. H., & Ferrin, T. E. (2018) · Protein Science · doi:10.1002/pro.3235 · Cited by 5,267
SignalP 5.0 improves signal peptide predictions using deep neural networks
Armenteros, J. J. A., Tsirigos, K. D., Sønderby, C. K., Petersen, T. N., Winther, O., Brunak, S., von HEIJNE, G., & Nielsen, H. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0036-z · Cited by 4,354
SignalP 6.0 predicts all five types of signal peptides using protein language models
Teufel, F., Armenteros, J. J. A., Johansen, A. R., Gíslason, M. H., Pihl, S. I., Tsirigos, K. D., Winther, O., Brunak, S., von HEIJNE, G., & Nielsen, H. (2022) · Nature Biotechnology · doi:10.1038/s41587-021-01156-3 · Cited by 3,194
CDD/SPARCLE: the conserved domain database in 2020
Lu, S., Wang, J., Chitsaz, F., Derbyshire, M. K., Geer, R. C., Gonzales, N. R., Gwadz, M., Hurwitz, D. I., Marchler, G. H., Song, J. S., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz991 · Cited by 3,062
Signals for Sorting of Transmembrane Proteins to Endosomes and Lysosomes
Bonifacino, J. S., & Traub, L. M. (2003) · Annual Review of Biochemistry · doi:10.1146/annurev.biochem.72.121801.161800 · Cited by 2,040
SignalP 6.0 predicts all five types of signal peptides using protein language models
Teufel, F., Armenteros, J. J. A., Johansen, A. R., Gíslason, M. H., Pihl, S. I., Tsirigos, K. D., Winther, O., Brunak, S., von HEIJNE, G., & Nielsen, H. (2022) · Repository for Publications and Research Data (ETH Zurich) · doi:10.3929/ethz-b-000524414 · Cited by 1,905
Using FlyAtlas to identify better Drosophila melanogaster models of human disease
Chintapalli, V. R., Wang, J., & Dow, J. A. T. (2007) · Nature Genetics · doi:10.1038/ng2049 · Cited by 1,509
Database resources of the National Center for Biotechnology Information
Coordinators, N. R., Agarwala, R., Barrett, T., Beck, J., Benson, D. A., Bollin, C., Bolton, E., Bourexis, D., Brister, J. R., Bryant, S. H., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gkx1095 · Cited by 1,502
DeepLoc: prediction of protein subcellular localization using deep learning
Almagro Armenteros, J. J., Sønderby, C. K., Sønderby, S. K., Nielsen, H., & Winther, O. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btx431 · Cited by 1,143
The Trichoplax genome and the nature of placozoans
Srivastava, M., Begovic, E., Chapman, J., Putnam, N. H., Hellsten, U., Kawashima, T., Kuo, A., Mitros, T., Salamov, A., Carpenter, M. L., et al. (2008) · Nature · doi:10.1038/nature07191 · Cited by 889
Protein Sequence Analysis Using the MPI Bioinformatics Toolkit
Gabler, F., Nam, S., Till, S., Mirdita, M., Steinegger, M., Söding, J., Lupas, A. N., & Alva, V. (2020) · Current Protocols in Bioinformatics · doi:10.1002/cpbi.108 · Cited by 831
Sievers, F., & Higgins, D. G. (2014) · Current Protocols in Bioinformatics · doi:10.1002/0471250953.bi0313s48 · Cited by 756
AlphaFold2 and its applications in the fields of biology and medicine
Yang, Z., Zeng, X., Zhao, Y., & Chen, R. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01381-z · Cited by 577
FlyBase: updates to the Drosophila melanogaster knowledge base
Larkin, A., Marygold, S. J., Antonazzo, G., Attrill, H. L., dos Santos, G., Garapati, P. V., Goodman, J. L., Gramates, L. S., Millburn, G., Strelets, V. B., et al. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa1026 · Cited by 484
AL2CO: calculation of positional conservation in a protein sequence alignment
Pei, J., & Grishin, N. V. (2001) · Bioinformatics · doi:10.1093/bioinformatics/17.8.700 · Cited by 483
Leader, D. P., Krause, S. A., Pandit, A., Davies, S. A., & Dow, J. A. T. (2018) · Nucleic Acids Research · doi:10.1093/nar/gkx976 · Cited by 432
Phylogenetic Trees Made Easy: A How-To Manual
Hall, B. G. (2011) · Cited by 425
Maddison, D. R., Schulz, K. S., & Maddison, W. P. (2007) · Zootaxa · doi:10.11646/zootaxa.1668.1.4 · Cited by 327
Helix-packing motifs in membrane proteins
Walters, R. F. S., & DeGrado, W. F. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0605878103 · Cited by 285
STEAP Proteins: From Structure to Applications in Cancer Therapy
Gomes, I. M., Maia, C. J., & Santos, C. R. A. (2012) · Molecular Cancer Research · doi:10.1158/1541-7786.mcr-11-0281 · Cited by 223
Steap Proteins: Implications for Iron and Copper Metabolism
Knutson, M. D. (2008) · Nutrition Reviews · doi:10.1111/j.1753-4887.2007.tb00311.x · Cited by 165
Duodenal Cytochrome b (DCYTB) in Iron Metabolism: An Update on Function and Regulation
Lane, D. J. R., Bae, D.-H., Merlot, A. M., Sahni, S., & Richardson, D. R. (2015) · Nutrients · doi:10.3390/nu7042274 · Cited by 164
Cysteine reactivity across the subcellular universe
Bak, D. W., Bechtel, T. J., Falco, J. A., & Weerapana, E. (2018) · Current Opinion in Chemical Biology · doi:10.1016/j.cbpa.2018.11.002 · Cited by 153
Mammalian iron transporters: Families SLC11 and SLC40
Montalbetti, N., Simonin, A., Kovács, G., & Hediger, M. A. (2013) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2013.01.002 · Cited by 152
Electron transfer across the chromaffin granule membrane.
Njus, D., KNOTH, J., Cook, C., & Kelly, P. M. (1983) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(18)33212-5 · Cited by 146
Hällberg, B. M., Bergfors, T., Bäckbro, K., Pettersson, G., Henriksson, G., & Divne, C. (2000) · Structure · doi:10.1016/s0969-2126(00)00082-4 · Cited by 140
The crystal structure of human dopamine β-hydroxylase at 2.9 Å resolution
Vendelboe, T. V., Harris, P., Zhao, Y., Walter, T. S., Harlos, K., El Omari, K., & Christensen, H. E. M. (2016) · Science Advances · doi:10.1126/sciadv.1500980 · Cited by 125
Cytochromes b 561: Ascorbate-Mediated Trans-Membrane Electron Transport
Asard, H., Barbaro, M. R., Trost, P., & Bérczi, A. (2012) · Antioxidants and Redox Signaling · doi:10.1089/ars.2012.5065 · Cited by 122
Molecular and Functional Roles of Duodenal Cytochrome B (Dcytb) in Iron Metabolism
Latunde-Dada, G. O., der Westhuizen, J. V., Vulpe, C. D., Anderson, G. J., Simpson, R. J., & McKie, A. T. (2002) · Blood Cells Molecules and Diseases · doi:10.1006/bcmd.2002.0574 · Cited by 107
Iron Absorption in Drosophila melanogaster
Mandilaras, K., Pathmanathan, T., & Missirlis, F. (2013) · Nutrients · doi:10.3390/nu5051622 · Cited by 104
Iron homeostasis in insects: Insights from Drosophila studies
Tang, X., & Zhou, B. (2013) · IUBMB Life · doi:10.1002/iub.1211 · Cited by 96
Su, D., May, J. M., Koury, M. J., & Asard, H. (2006) · Journal of Biological Chemistry · doi:10.1074/jbc.m606543200 · Cited by 93
Iron Transport Across Biologic Membranes
Andrews, N. C., Fleming, M. D., & Gunshin, H. (2009) · Nutrition Reviews · doi:10.1111/j.1753-4887.1999.tb06934.x · Cited by 84
Stromal cell-derived receptor 2 and cytochrome b561 are functional ferric reductases
Vargas, J. D. H., Herpers, B., McKie, A. T., Gledhill, S., McDonnell, J. M., van den Heuvel, M., Davies, K. E., & Ponting, C. P. (2003) · Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics · doi:10.1016/s1570-9639(03)00242-5 · Cited by 83
Tsubaki, M., Takeuchi, F., & Nakanishi, N. (2005) · Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics · doi:10.1016/j.bbapap.2005.08.015 · Cited by 81
Redox Systems Biology: Harnessing the Sentinels of the Cysteine Redoxome
Held, J. M. (2019) · Antioxidants and Redox Signaling · doi:10.1089/ars.2019.7725 · Cited by 79
Structure and mechanism of a eukaryotic transmembrane ascorbate-dependent oxidoreductase
Lu, P., Ma, D., Yan, C., Gong, X., Du, M., & Shi, Y. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1323931111 · Cited by 71
The DOMON domains are involved in heme and sugar recognition
Iyer, L. M., Anantharaman, V., & Aravind, L. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btm411 · Cited by 67
A phylogenetic study of cytochrome b561 proteins
Verelst, W., & Asard, H. (2003) · Genome biology · doi:10.1186/gb-2003-4-6-r38 · Cited by 61
Three mammalian cytochromes b561 are ascorbate‐dependent ferrireductases
Su, D., & Asard, H. (2006) · FEBS Journal · doi:10.1111/j.1742-4658.2006.05381.x · Cited by 59
Gorman, M. J. (2022) · Annual Review of Entomology · doi:10.1146/annurev-ento-040622-092836 · Cited by 59
Self-citationCytochrome b561 spectral changes associated with electron transfer in chromaffin-vesicle ghosts.
Kelley, P. M., & Njus, D. (1986) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(19)84579-9 · Cited by 58
Lysosomal iron recycling in mouse macrophages is dependent upon both LcytB and Steap3 reductases
Meng, F., Fleming, B. A., Jia, X., Rousek, A. A., Mulvey, M. A., & Ward, D. M. (2022) · Blood Advances · doi:10.1182/bloodadvances.2021005609 · Cited by 58
Bannan, B. A., Etten, J. V., Kohler, J. A., Tsoi, Y., Hansen, N. M., Sigmon, S. C., Fowler, E., Buff, H., Williams, T. S., Ault, J. G., et al. (2008) · Fly · doi:10.4161/fly.6621 · Cited by 57
Ganasen, M., Togashi, H., Takeda, H., Asakura, H., Tosha, T., Yamashita, K., Hirata, K., Nariai, Y., Urano, T., Yuan, X., et al. (2018) · Communications Biology · doi:10.1038/s42003-018-0121-8 · Cited by 54
An ascorbate-reducible cytochrome b561 is localized in macrophage lysosomes
Zhang, D., Su, D., Bérczi, A., Vargas, A., & Asard, H. (2006) · Biochimica et Biophysica Acta (BBA) - General Subjects · doi:10.1016/j.bbagen.2006.07.019 · Cited by 50
Julca, I., Marcet‐Houben, M., Cruz, F., Vargas-Chávez, C., Johnston, J. S., Gómez‐Garrido, J., Frías, L., Corvelo, A., Loska, D., Ferreira, F. C., et al. (2019) · Molecular Biology and Evolution · doi:10.1093/molbev/msz261 · Cited by 40
DCYTB is a predictor of outcome in breast cancer that functions via iron-independent mechanisms
Lemler, D. J., Lynch, M. L., Tesfay, L., Deng, Z., Paul, B. T., Wang, X., Hegde, P., Manz, D. H., Torti, S. V., & Torti, F. M. (2017) · Breast Cancer Research · doi:10.1186/s13058-017-0814-9 · Cited by 38
nemy encodes a cytochrome b561 that is required for Drosophila learning and memory
Iliadi, K. G., Avivi, A., Iliadi, N. N., Knight, D., Korol, A. B., Nevo, E., Taylor, P. P., Moran, M. F., Камышев, Н. Г., & Boulianne, G. L. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0810698105 · Cited by 37
CYB561A3 is the key lysosomal iron reductase required for Burkitt B-cell growth and survival
Wang, Z., Guo, R., Trudeau, S. J., Wolinsky, E., Ast, T., Liang, J. H., Jiang, C., Ma, Y., Teng, M., Mootha, V. K., et al. (2021) · Blood · doi:10.1182/blood.2021011079 · Cited by 31
A holistic view of mammalian (vertebrate) cellular iron uptake
Kosman, D. J. (2020) · Metallomics · doi:10.1039/d0mt00065e · Cited by 25
The Trans-Membrane Cytochrome b561 Proteins: Structural Information and Biological Function
Bérczi, A., & Zimányi, L. (2014) · Current Protein and Peptide Science · doi:10.2174/1389203715666140828100351 · Cited by 24
Drosophila ZDHHC8 palmitoylates scribble and Ras64B and controls growth and viability
Straßburger, K., Kang, E., & Teleman, A. A. (2019) · PLoS ONE · doi:10.1371/journal.pone.0198149 · Cited by 18
How Are Cytochrome b561 Electron Currents Controlled by Membrane Voltage and Substrate Availability?
Picco, C., Scholz‐Starke, J., Naso, A., Preger, V., Sparla, F., Trost, P., & Carpaneto, A. (2014) · Antioxidants and Redox Signaling · doi:10.1089/ars.2013.5809 · Cited by 17
Towards a membrane proteome in Drosophila: a method for the isolation of plasma membrane
Khanna, M. R., Stanley, B. A., & Thomas, G. H. (2010) · BMC Genomics · doi:10.1186/1471-2164-11-302 · Cited by 17
Cenacchi, L., Busch, M., Schleidt, P. G., Müller, F. G., Stumpp, T., Mäntele, W., Trost, P., & Lancaster, C. R. D. (2011) · Biochimica et Biophysica Acta (BBA) - Biomembranes · doi:10.1016/j.bbamem.2011.10.030 · Cited by 14
Recuenco, M. C., Rahman, M. M., Sakamoto, Y., Takeuchi, F., Hori, H., & Tsubaki, M. (2012) · The Journal of Biochemistry · doi:10.1093/jb/mvs139 · Cited by 13
Molecular physiology of iron trafficking in Drosophila melanogaster
Wu, S., Yin, S., & Zhou, B. (2022) · Current Opinion in Insect Science · doi:10.1016/j.cois.2022.100888 · Cited by 11
Distinct Regulation of Transmitter Release at the Drosophila NMJ by Different Isoforms of nemy
Knight, D., Iliadi, K. G., Iliadi, N. N., Wilk, R., Hu, J., Krause, H. M., Taylor, P. P., Moran, M. F., & Boulianne, G. L. (2015) · PLoS ONE · doi:10.1371/journal.pone.0132548 · Cited by 10
Duodenal cytochrome b (Cybrd1) ferric reductase functional studies in cells
Schlottmann, F. P., Vera‐Aviles, M., & Latunde-Dada, G. O. (2017) · Metallomics · doi:10.1039/c7mt00254h · Cited by 10
Dihydrolipoic acid reduces cytochrome b561 proteins
Bérczi, A., Zimányi, L., & Asard, H. (2012) · European Biophysics Journal · doi:10.1007/s00249-012-0812-x · Cited by 6
Behery, M. E., Fujimura, M., Kimura, T., & Tsubaki, M. (2020) · Biochemistry and Biophysics Reports · doi:10.1016/j.bbrep.2020.100730 · Cited by 6
Fellner, M., Huizenga, K. G., Hausinger, R. P., & Hu, J. P. (2020) · Scientific Reports · doi:10.1038/s41598-020-62847-6 · Cited by 3
Klein, M., Deniz, E., Heit, S., Wille, G., Mäntele, W., & Lancaster, C. R. D. (2020) · Biochemistry · doi:10.1021/acs.biochem.0c00155 · Cited by 3
Metadata
- Authors
- Holst, J. D., Murphy, L. G., Gorman, M. J., & Ragan, E. J.
- Affiliations
- Metropolitan State University of Denver (US)
- Kansas State University (US)
- Corresponding author
- Ragan, Emily J.
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2023-12-01
- Volume
- 18
- Issue
- 12
- Pages
- e0291564
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC10691727
- OpenAlex
- W4389234010
- Cited by
- 6
- References
- 71
- Citations by year
- 2025: 4 · 2024: 2
- FWCI
- 1.23
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS ONE (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Division of Integrative Organismal Systems (NSF IOS-1656388, NSF IOS-1656407)
- Foundation for the National Institutes of Health (NIH R35GM141859, R01-GM129325, 5U41HG000739)
- Topics
- Health Sciences › Medicine › Hematology › Iron Metabolism and Disorders
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Insect Resistance and Genetics
- Keywords
- cytochrome b561, Dcytb, heme binding site, substrate binding site, Drosophila melanogaster
- MeSH terms
- Animals, Cytochrome b Group, Drosophila melanogaster, Humans, Iron, Oxidoreductases, Phylogeny, FMN Reductase
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.