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ProLuCID: An improved SEQUEST-like algorithm with enhanced sensitivity and specificity
Open accessAbstract
ProLuCID, a new algorithm for peptide identification using tandem mass spectrometry and protein sequence databases has been developed. This algorithm uses a three tier scoring scheme. First, a binomial probability is used as a preliminary scoring scheme to select candidate peptides. The binomial probability scores generated by ProLuCID minimize molecular weight bias and are independent of database size. A modified cross-correlation score is calculated for each candidate peptide identified by the binomial probability. This cross-correlation scoring function models the isotopic distributions of fragment ions of candidate peptides which ultimately results in higher sensitivity and specificity than that obtained with the SEQUEST XCorr. Finally, ProLuCID uses the distribution of XCorr values for all of the selected candidate peptides to compute a Z score for the peptide hit with the highest XCorr. The ProLuCID Z score combines the discriminative power of XCorr and DeltaCN, the standard parameters for assessing the quality of the peptide identification using SEQUEST, and displays significant improvement in specificity over ProLuCID XCorr alone. ProLuCID is also able to take advantage of high resolution MS/MS spectra leading to further improvements in specificity when compared to low resolution tandem MS data. A comparison of filtered data searched with SEQUEST and ProLuCID using the same false discovery rate as estimated by a target-decoy database strategy, shows that ProLuCID was able to identify as many as 25% more proteins than SEQUEST. ProLuCID is implemented in Java and can be easily installed on a single computer or a computer cluster. This article is part of a Special Issue entitled: Computational Proteomics.
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“Under serum-free survival conditions, we have previously observed that the cells do not proliferate, and thus we are measuring loss of viability in these cells under serum-free conditions with pharmacological treatment 49.”
From Manumycin polyketides act as molecular glues between UBR7 and P53 (2020) · cites this paper as [49]
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“A scoring evaluation (e.g., Xcorr and deltaCN in SEQUEST, Z-score in ProLuCID) is usually applied to describe the degree of matching between observed and in silico generated spectra.”
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MethodNGLY1 mutations cause protein aggregation in human neurons
Manole, A., Wong, T. L., Rhee, A. J., Novak, S. W., Chin, S.-M., Tsimring, K., Paucar, A. A., Williams, A. E., Newmeyer, T. F., Schafer, S. T., et al. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.113466 · Cited by 20
“Tandem mass spectra were extracted from raw files using RawConverter 54 and searched with ProLuCID 55 against Uniprot human database.”
MethodChanges in saliva protein profile throughout Rhipicephalus microplus blood feeding
Vaz, I. D. S., Lu, S. M., Pinto, A. F. M., Diedrich, J. K., Yates, J. R., Mulenga, A., Termignoni, C., Ribeiro, J. M. C., & Tirloni, L. (2024) · Parasites & Vectors · doi:10.1186/s13071-024-06136-5 · Cited by 20
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MethodInfluentialSelf-citationBomba-Warczak, E. K., Velez, K. M., Zhou, L. T., Guillermier, C., Edassery, S. L., Steinhauser, M. L., Savas, J. N., & Duncan, F. E. (2024) · eLife · doi:10.7554/elife.93172.3 · Cited by 20
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MethodPIE-1 SUMOylation promotes germline fates and piRNA-dependent silencing in C. elegans
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MethodInfluentialProteomic screen reveals diverse protein transport between connected neurons in the visual system
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MethodIdentification of 113 new histone marks by CHiMA, a tailored database search strategy
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“We next compared the distributions of the confidence scores, the major metric used by DTASelect to assess PSM confidence ( 18 ).”
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An apical protein, Pcr2, is required for persistent movement by the human parasite Toxoplasma gondii
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“Phosphorylation sites were identified with the ProLuCID database search algorithm using a differential modification search that considered a mass shift of 79.9663 on serines, threonines, and tyrosines (31).”
InfluentialSelf-citationThe mitochondrial lactate oxidation complex: endpoint for carbohydrate carbon disposal
Leija, R. G., Arevalo, J. A., Xing, D., Vázquez‐Medina, J. P., & Brooks, G. A. (2024) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00306.2024 · Cited by 17
Comparative reactivity profiling of cysteine-specific probes by chemoproteomics
Yang, F., Chen, N., Wang, F., Jia, G., & Wang, C. (2022) · Current Research in Chemical Biology · doi:10.1016/j.crchbi.2022.100024 · Cited by 16
Armony, G., Brehmer, S., Srikumar, T., Pfennig, L., Zijlstra, F., Trede, D., Kruppa, G. H., Lefeber, D. J., van Gool, A. J., & Wessels, H. J. C. T. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24097869 · Cited by 16
“To enable such real-time glycopeptide searches on PaSER, we set out to develop GlycoPaSER which takes advantage of the available real-time protein database search engine “ProLu-CID” [14].”
MethodImplicating the red body of Nannochloropsis in forming the recalcitrant cell wall polymer algaenan
Gee, C. W., Andersen‐Ranberg, J., Boynton, E., Rosen, R. Z., Jorgens, D. M., Grob, P., Holman, H. N., & Niyogi, K. (2024) · Nature Communications · doi:10.1038/s41467-024-49277-y · Cited by 17
Tapia, M. A., Jin, X., Tucker, B. R., Thomas, L. N., Walker, N. B., Kim, V. J., Albertson, S. E., Damuka, N., Krizan, I. M., Edassery, S. L., et al. (2022) · Neuropharmacology · doi:10.1016/j.neuropharm.2022.109066 · Cited by 18
A Time-Based and Intratumoral Proteomic Assessment of a Recurrent Glioblastoma Multiforme
de Aquino, P. F., Carvalho, P. C., Nogueira, F. C. S., da Fonseca, C. O., Silva, J. C. T. D. S., Carvalho, M. D. G., Domont, G. B., Zanchin, N. I. T., & Fischer, J. D. S. D. G. (2016) · Frontiers in Oncology · doi:10.3389/fonc.2016.00183 · Cited by 17
Li, P., Jin, H., Koch, B. A., Abblett, R. L., Han, X., Yates, J. R., & Yu, H.-G. (2017) · PLoS Genetics · doi:10.1371/journal.pgen.1006830 · Cited by 16
Self-citationLee, J., Oh, S., Bhattacharya, S., Zhang, Y., Florens, L. A., Washburn, M. P., & Workman, J. L. (2020) · PLoS ONE · doi:10.1371/journal.pone.0243489 · Cited by 15
“3) [36] against a database consisting of 5945 S.”
BackgroundWang, Y., Castillon, C., Gebis, K. K., Bartom, E. T., d’Azzo, A., Contractor, A., & Savas, J. N. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.113680 · Cited by 13
Nguyen, T.-T., Kim, T. H., Bencosme-Cuevas, E., Berry, J., Gaithuma, A. K., Ansari, M. A., Kim, T. K., Tirloni, L., Radulović, Ž. M., Moresco, J. J., et al. (2024) · PLoS Pathogens · doi:10.1371/journal.ppat.1012032 · Cited by 15
Self-citationA kalihinol analog disrupts apicoplast function and vesicular trafficking in P. falciparum malaria
Chahine, Z. M., Abel, S., Hollin, T., Barnes, G. L., Chung, J. H., Daub, M. E., Renard, I., Choi, J., Vydyam, P., Pal, A. C., et al. (2024) · Science · doi:10.1126/science.adm7966 · Cited by 15
“MS/MS spectra were interpreted using ProluCID v.1.3.3 (94).”
InfluentialWang, Y., & Wang, C. (2022) · Cell Death and Differentiation · doi:10.1038/s41418-022-01050-8 · Cited by 16
“Other important parameters: isolation window, 2.0 m/z units; default charge, 2+; normalized collision energy, 28%; maximum IT, 50 ms; and dynamic exclusion, 20.0 s. LC-MS/MS data were analyzed by ProLuCID [63] with static modification of cysteine carbamidomethylation (+57.0215 Da).”
MethodInfluentialActivity-Induced Cortical Glutamatergic Neuron Nascent Proteins
Schiapparelli, L., Xie, Y., Sharma, P., McClatchy, D. B., Ma, Y., Yates, J. R., Maximov, A., & Cline, H. T. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.0707-22.2022 · Cited by 15
“Processing mass spectra and protein identification For ANL data, MS/MS spectra were searched with the ProLuCID algorithm (Xu et al., 2015) against the UniProt mouse database (release date, April 17, 2017) concatenated to a decoy database in which the sequence for each entry in the original database…”
MethodSelf-citationKachaev, Z. M., Lebedeva, L. A., Shaposhnikov, A. V., Moresco, J. J., Yates, J. R., Schedl, P. D., & Shidlovskii, Y. V. (2019) · FEBS Letters · doi:10.1002/1873-3468.13391 · Cited by 15
Self-citationRvb1/Rvb2 proteins couple transcription and translation during glucose starvation
Chen, Y. S., Hou, W., Tracy, S., Harvey, A. T., Harjono, V., Xu, F., Moresco, J. J., Yates, J. R., & Zid, B. M. (2022) · eLife · doi:10.7554/elife.76965 · Cited by 14
Self-citationComparative membrane proteomics reveals diverse cell regulators concentrated at the nuclear envelope
Cheng, L.-C., Zhang, X., Baboo, S., Nguyen, J. A., Martínez‐Bartolomé, S., Loose, E., Diedrich, J. K., Yates, J. R., & Gerace, L. (2023) · Life Science Alliance · doi:10.26508/lsa.202301998 · Cited by 14
“Tandem mass spectra were extracted (mono-isotopic peaks) from raw fi les using RawConverter (He et al, 2015) and were searched against the UniProt SwissProt Mus musculus database (release 2018_01) with reversed sequences using ProLuCID (Peng et al, 2003; Xu et al, 2015).”
InfluentialSelf-citationAttenuation of ATM signaling by ROS delays replicative senescence at physiological oxygen
Stuart, A., Takai, K., Gabbasova, R. R., Sanford, H., Vinogradova, E. V., & de Lange, T. (2025) · Molecular Cell · doi:10.1016/j.molcel.2025.11.006 · Cited by 13
Proteomics Profiling of KAIMRC1 in Comparison to MDA-MB231 and MCF-7
Alghanem, B., Ali, R., Nehdi, A., Zahrani, H. A., Altolayyan, A., Shaibah, H., Baz, O., Alhallaj, A., Moresco, J. J., Diedrich, J. K., et al. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21124328 · Cited by 14
“For protein identification, tandem mass spectra were searched against a database including the Uniprot human database, reversed sequences, and contaminate using ProLuCID [51].”
MethodSelf-citationChen, M., Kuhle, B., Diedrich, J. K., Liu, Z., Moresco, J. J., Yates, J. R., Pan, T., & Yang, X.-L. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa469 · Cited by 14
“Tandem mass spectra were extracted from raw files using RawConverter (19) and searched with ProLuCID (20) against human UniProt database.”
MethodSelf-citationPáez-Moscoso, D. J., Ho, D. V., Pan, L., Hildebrand, K., Jensen, K. L., Levy, M. J., Florens, L., & Baumann, P. (2022) · Nature Communications · doi:10.1038/s41467-022-28545-9 · Cited by 10
Covalent Destabilizing Degrader of AR and AR-V7 in Androgen-Independent Prostate Cancer Cells
Zammit, C. M., Nadel, C. M., Lin, Y. Q., Koirala, S., Ahani, E., Potts, P. R., & Nomura, D. K. (2025) · Journal of the American Chemical Society · doi:10.1021/jacs.5c02801 · Cited by 15
Park, J., Go, E.-B., Oh, J. S., Lee, J. K., & Lee, S. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22094311 · Cited by 13
“24 using the ProLuCID search algorithm [25] for peptide identification.”
MethodIncreased proteomic complexity in Drosophila hybrids during development
Bamberger, C., Martínez-Bartolomé, S., Montgomery, M., Lavallée-Adam, M., & Yates, J. (2018) · Science Advances · doi:10.1126/sciadv.aao3424 · Cited by 13
Self-citationProtein turnover models for LC–MS data of heavy water metabolic labeling
Sadygov, R. G. (2021) · Briefings in Bioinformatics · doi:10.1093/bib/bbab598 · Cited by 14
Vaccination elicits HIV broadly neutralizing antibodies in primates
Steichen, J. M., Madden, P. J., Flynn, C. T., Phulera, S., Shil, M., Kalyuzhniy, O., Liguori, A., Kifude, C., Sewall, L. M., Cottrell, C. A., et al. (2026) · Nature · doi:10.1038/s41586-026-10837-5 · Cited by 19
Self-citationPARP1-SNAI2 transcription axis drives resistance to PARP inhibitor, Talazoparib
Ding, X., Zhu, Z., Lapek, J. D., McMillan, E. A., Zhang, A., Chung, C., Dubbury, S. J., Lapira, J., Firdaus, S. J., Kang, X., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-16623-3 · Cited by 13
Guenaga, J., Alirezaei, M., Feng, Y., Alameh, M., Lee, W.-H., Baboo, S., Cluff, J., Wilson, R., Bale, S., Ozorowski, G., et al. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1426232 · Cited by 12
Self-citationChézeau, L., Kohlstaedt, L. A., Faou, A. L., Cosnier, F., Rihn, B. H., & Gaté, L. (2019) · Journal of Proteomics · doi:10.1016/j.jprot.2019.103451 · Cited by 12
Chen, C., Chen, Y., Lu, J., Chen, Z., Wang, C., & Pi, R. (2021) · Toxicology Letters · doi:10.1016/j.toxlet.2021.03.001 · Cited by 12
Polho, G. B., Cardillo, G. M., Kerr, D. S., Chile, T., Gattaz, W. F., Forlenza, O. V., Brentani, H., & De-Paula, V. J. (2021) · Neural Regeneration Research · doi:10.4103/1673-5374.324852 · Cited by 12
“The aripiprazole has demonstrated neuroprotective effects through increasing transcripts and protein level of brainderived neurotrophic factor, phosphorylation and GSK-3β in SH-SY5Y cells (Gibson et al., 1999; Xu et al., 2015), and decreasing presynaptic-like glutamate release in synaptosomes (Yu et al, 2008).”
BackgroundSP3‐FAIMS‐Enabled High‐Throughput Quantitative Profiling of the Cysteinome
Desai, H. S., Yan, T., & Backus, K. M. (2022) · Current Protocols · doi:10.1002/cpz1.492 · Cited by 9
“For search, multiple algorithms including SEQUEST (Eng, McCormack, & Yates, 1994), ProLuCiD (Xu et al., 2015), MaxQuant (Tyanova, Temu, & Cox, 2016), Proteome Discoverer (Mnatsakanyan et al., 2019), and MSFragger (Kong, Leprevost, Avtonomov, Mellacheruvu, & Nesvizhskii, Desai et al. 3 of 31 Current Protocols 2017; Yu,…”
MethodCheng, L.-C., Zhang, X., Abhinav, K., Nguyen, J. A., Baboo, S., Martínez‐Bartolomé, S., Branon, T. C., Ting, A. Y., Loose, E., Yates, J. R., et al. (2022) · Journal of Proteome Research · doi:10.1021/acs.jproteome.2c00281 · Cited by 12
Self-citationPasquarelli, R. R., Back, P., Sha, J., Wohlschlegel, J. A., & Bradley, P. J. (2023) · PLoS Pathogens · doi:10.1371/journal.ppat.1011707 · Cited by 12
“Data analysis was performed using ProLuCID and DTASelect2 implemented in Integrated Proteomics Pipeline IP2 (Integrated Proteomics Applications) [72–74].”
MethodSelf-citationMack, H. I. D., Zhang, P., Fonslow, B. R., & Yates, J. R. (2017) · Aging · doi:10.18632/aging.101244 · Cited by 12
“Tandem mass spectra were extracted to MS2 files from raw files using RawExtract 1.9.9 [57] and searched against a non-redundant UniProt human database with reversed sequences using ProLuCID [58].”
InfluentialSelf-citationJaiswal, D., Turniansky, R., Moresco, J. J., Ikram, S., Ramaprasad, G., Akinwole, A., Wolf, J. B., Yates, J. R., & Green, E. M. (2019) · Molecular and Cellular Biology · doi:10.1128/mcb.00341-19 · Cited by 13
“Peptide matching was done against the UniProt Saccharomyces cerevisiae protein database with reversed sequences and recombinant proteins using ProLuCID (66, 67) Regulation of the SMYD Methyltransferase Set5 Molecular and Cellular Biology”
MethodInfluentialSelf-citationAnalysis of the Tropism of SARS-CoV-2 Based on the Host Interactome of the Spike Protein
Bamberger, C., Pankow, S., Martínez‐Bartolomé, S., Diedrich, J. K., Park, S. K. R., & Yates, J. R. (2023) · Journal of Proteome Research · doi:10.1021/acs.jproteome.3c00387 · Cited by 12
Self-citationCapitanchik, C., Dixon, C. R., Swanson, S. K., Florens, L. A., Kerr, A. R. W., & Schirmer, E. C. (2018) · Nucleus · doi:10.1080/19491034.2018.1469351 · Cited by 13
“3) [92] was used to search MS/MS datasets obtained from four NaOHextracted and three Salt-and-Detergent extracted liver NE samples and four NaOH-extracted and two Salt-and-Detergent extracted liver NE protein samples.”
Method
Metadata
- Authors
- Xu, T., Park, S. K., Venable, J. D., Wohlschlegel, J. A., Diedrich, J. K., Cociorva, D., Lu, B., Liao, L., Hewel, J., Han, X., Wong, C. C. L., Fonslow, B., Delahunty, C., Gao, Y., Shah, H., & Yates, J. R.
- Affiliations
- Scripps Research Institute (US)
- Corresponding author
- Yates, J.R.
- ORCID
- Venue
- Journal of Proteomics
- Publisher
- Elsevier BV
- Published
- 2015-11
- Volume
- 129
- Pages
- 16-24
- ISSN
- 1874-3919 (ISSN-L)
- PMC
- PMC4630125
- OpenAlex
- W2182963873
- Cited by
- 511
- References
- 51
- Citations by year
- 2026: 23 · 2025: 41 · 2024: 65 · 2023: 45 · 2022: 51 · 2021: 56 · 2020: 56 · 2019: 60 · 2018: 43 · 2017: 46 · 2016: 22 · 2015: 3
- FWCI
- 16.92
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Journal of Proteomics (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- Funders
- NIH (5U01 DE016267-04, 5R01 HL079442-04, R01 MH067880, P41 GM103533)
- NHLBI (HHSN268201000035C)
- Topics
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Physical Sciences › Chemistry › Spectroscopy › Mass Spectrometry Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Keywords
- peptide identification, tandem mass spectrometry, SEQUEST, Z-score
- MeSH terms
- Algorithms, Amino Acid Sequence, Molecular Sequence Data, Pattern Recognition, Automated, Peptide Mapping, Proteins, Sensitivity and Specificity, Software, Reproducibility of Results, Sequence Analysis, Protein, Databases, Protein, Tandem Mass Spectrometry, Data Mining
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