The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.
Update of PROFEAT: a web server for computing structural and physicochemical features of proteins and peptides from amino acid sequence
Open accessAbstract
Sequence-derived structural and physicochemical features have been extensively used for analyzing and predicting structural, functional, expression and interaction profiles of proteins and peptides. PROFEAT has been developed as a web server for computing commonly used features of proteins and peptides from amino acid sequence. To facilitate more extensive studies of protein and peptides, numerous improvements and updates have been made to PROFEAT. We added new functions for computing descriptors of protein-protein and protein-small molecule interactions, segment descriptors for local properties of protein sequences, topological descriptors for peptide sequences and small molecule structures. We also added new feature groups for proteins and peptides (pseudo-amino acid composition, amphiphilic pseudo-amino acid composition, total amino acid properties and atomic-level topological descriptors) as well as for small molecules (atomic-level topological descriptors). Overall, PROFEAT computes 11 feature groups of descriptors for proteins and peptides, and a feature group of more than 400 descriptors for small molecules plus the derived features for protein-protein and protein-small molecule interactions. Our computational algorithms have been extensively tested and used in a number of published works for predicting proteins of specific structural or functional classes, protein-protein interactions, peptides of specific functions and quantitative structure activity relationships of small molecules. PROFEAT is accessible free of charge at http://bidd.cz3.nus.edu.sg/cgi-bin/prof/protein/profnew.cgi.
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
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
NOTES ON CONTINUOUS STOCHASTIC PHENOMENA
MORAN, P. A. P. (1950) · Biometrika · doi:10.1093/biomet/37.1-2.17 · Cited by 8,622
Handbook of Molecular Descriptors
Todeschini, R., & Consonni, V. (2000) · Methods and Principles in Medicinal Chemistry · doi:10.1002/9783527613106 · Cited by 4,107
Amino Acid Difference Formula to Help Explain Protein Evolution
Grantham, R. (1974) · Science · doi:10.1126/science.185.4154.862 · Cited by 2,363
The Contiguity Ratio and Statistical Mapping
Geary, R. C. (1954) · The Incorporated Statistician · doi:10.2307/2986645 · Cited by 1,590
The nature of the accessible and buried surfaces in proteins
Chothia, C. (1976) · Journal of Molecular Biology · doi:10.1016/0022-2836(76)90191-1 · Cited by 1,161
Prediction of drug–target interaction networks from the integration of chemical and genomic spaces
Yamanishi, Y., Araki, M., Gutteridge, A., Honda, W., & Kanehisa, M. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn162 · Cited by 1,147
AAindex: Amino Acid Index Database
Kawashima, S., Ogata, H., & Kanehisa, M. (1999) · Nucleic Acids Research · doi:10.1093/nar/27.1.368 · Cited by 1,012
Support vector machine approach for protein subcellular localization prediction
Hua, S., & Sun, Z. (2001) · Bioinformatics · doi:10.1093/bioinformatics/17.8.721 · Cited by 854
Multi-class protein fold recognition using support vector machines and neural networks
Ding, C. H. Q., & Dubchak, I. (2001) · Bioinformatics · doi:10.1093/bioinformatics/17.4.349 · Cited by 834
On the average hydrophobicity of proteins and the relation between it and protein structure
Bigelow, C. C. (1967) · Journal of Theoretical Biology · doi:10.1016/0022-5193(67)90004-5 · Cited by 793
Cited by
CAMP: a useful resource for research on antimicrobial peptides.
Thomas, S., Karnik, S., Barai, R. S., Jayaraman, V. K., & Idicula-Thomas, S. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkp1021 · Cited by 462
Xiao, N., Cao, D.-S., Zhu, M.-F., & Xu, Q.-S. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv042 · Cited by 334
Wang, Y., Guo, Y., Kuang, Q., Pu, X., Ji, Y., Zhang, Z., & Li, M. (2015) · Journal of Computer-Aided Molecular Design · doi:10.1007/s10822-014-9827-y · Cited by 69
A Unified Proteochemometric Model for Prediction of Inhibition of Cytochrome P450 Isoforms
Lapins, M., Worachartcheewan, A., Spjuth, O., Georgiev, V., Prachayasittikul, V., Nantasenamat, C., & Wikberg, J. E. S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0066566 · Cited by 46
Metadata
- Authors
- Rao, H. B., Zhu, F., Yang, G. B., Li, Z. R., & Chen, Y. Z.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-05-23
- Volume
- 39
- Issue
- suppl_2
- Pages
- W385-W390
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2152800101
- Cited by
- 359
- References
- 64
- FWCI
- 8.82
- Type
- journal article
- Language
- en
- Open access
- gold
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Update of PROFEAT: a web server for computing structural and physicochemical features of proteins and peptides from amino acid sequence. https://app.cochat.ai/papers/10.1093/nar/gkr284
- The paper
- Rao, H. B., Zhu, F., Yang, G. B., Li, Z. R., & Chen, Y. Z. (2011). Update of PROFEAT: a web server for computing structural and physicochemical features of proteins and peptides from amino acid sequence. Nucleic Acids Research. https://doi.org/10.1093/nar/gkr284
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.