Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Dec 9;12(1):21341.
doi: 10.1038/s41598-022-25530-6.

ApInAPDB: a database of apoptosis-inducing anticancer peptides

Affiliations

ApInAPDB: a database of apoptosis-inducing anticancer peptides

Naser Faraji et al. Sci Rep. .

Abstract

ApInAPDB (Apoptosis-Inducing Anticancer Peptides Database) consists of 818 apoptosis-inducing anticancer peptides which are manually collected from research articles. The database provides scholars with peptide related information such as function, binding target and affinity, IC50 and etc. In addition, GRAVY (grand average of hydropathy), net charge at pH 7, hydrophobicity and other physicochemical properties are calculated and presented. Another category of information are structural information includes 3D modeling, secondary structure prediction and descriptors for QSAR (quantitative structure-activity relationship) modeling. In order to facilitate the browsing process, three types of user-friendly searching tools are provided: top categories browser, simple search and advanced search. Overall ApInAPDB as the first database presenting apoptosis-inducing anticancer peptides can be useful in the field of peptide design and especially cancer therapy. Researchers can freely access the database at http://bioinf.modares.ac.ir/software/ApInAPDB/ .

PubMed Disclaimer

Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Overall structure and features of ApInAPDB.
Figure 2
Figure 2
Schematic representation of ApInAPDB interface.
Figure 3
Figure 3
An example of result page: Original information (left), secondary structures prediction (middle), physicochemical properties (right top) and descriptors for QSAR modeling (right down).
Figure 4
Figure 4
Representation of distribution based on (a) binding target, (b) length, (c) source and (d) charge in ApInAPDB.

References

    1. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2020. CA Cancer J. Clin. 2020;70:7–30. doi: 10.3322/caac.21590. - DOI - PubMed
    1. Marqus S, Pirogova E, Piva TJ. Evaluation of the use of therapeutic peptides for cancer treatment. J. Biomed. Sci. 2017;24:21. doi: 10.1186/s12929-017-0328-x. - DOI - PMC - PubMed
    1. Huang KY, et al. Identification of subtypes of anticancer peptides based on sequential features and physicochemical properties. Sci. Rep. 2021;11:1–13. - PMC - PubMed
    1. Tyagi A, et al. CancerPPD: A database of anticancer peptides and proteins. Nucl. Acids Res. 2015;43:D837–D843. doi: 10.1093/nar/gku892. - DOI - PMC - PubMed
    1. Zhang XX, Eden HS, Chen X. Peptides in cancer nanomedicine: Drug carriers, targeting ligands and protease substrates. J. Control. Release. 2012;159:2–13. doi: 10.1016/j.jconrel.2011.10.023. - DOI - PMC - PubMed

Publication types