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CancerPPD: a database of anticancer peptides and proteins.

Tyagi A, Tuknait A, Anand P, Gupta S, Sharma M, Mathur D, Joshi A, Singh S, Gautam A, Raghava GP - Nucleic Acids Res. (2014)

Bottom Line: Besides this primary information, CancerPPD stores predicted tertiary structures as well as peptide sequences in SMILES format.In order to assist users, a number of web-based tools have been integrated, these include keyword search, data browsing, sequence and structural similarity search.We believe that CancerPPD will be very useful in designing peptide-based anticancer therapeutics.

View Article: PubMed Central - PubMed

Affiliation: Bioinformatics Centre, CSIR-Institute of Microbial Technology, Chandigarh 160036, Punjab, India.

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Related in: MedlinePlus

Schematic representation of CancerPPD web interface.
© Copyright Policy - creative-commons
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC4384006&req=5

Figure 2: Schematic representation of CancerPPD web interface.

Mentions: A user-friendly web interface (Figure 2) has been designed to query the database. Various tools have been integrated, which facilitate data retrieval, search and analysis conveniently. Following is the brief description of various options available in CancerPPD.


CancerPPD: a database of anticancer peptides and proteins.

Tyagi A, Tuknait A, Anand P, Gupta S, Sharma M, Mathur D, Joshi A, Singh S, Gautam A, Raghava GP - Nucleic Acids Res. (2014)

Schematic representation of CancerPPD web interface.
© Copyright Policy - creative-commons
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4384006&req=5

Figure 2: Schematic representation of CancerPPD web interface.
Mentions: A user-friendly web interface (Figure 2) has been designed to query the database. Various tools have been integrated, which facilitate data retrieval, search and analysis conveniently. Following is the brief description of various options available in CancerPPD.

Bottom Line: Besides this primary information, CancerPPD stores predicted tertiary structures as well as peptide sequences in SMILES format.In order to assist users, a number of web-based tools have been integrated, these include keyword search, data browsing, sequence and structural similarity search.We believe that CancerPPD will be very useful in designing peptide-based anticancer therapeutics.

View Article: PubMed Central - PubMed

Affiliation: Bioinformatics Centre, CSIR-Institute of Microbial Technology, Chandigarh 160036, Punjab, India.

Show MeSH
Related in: MedlinePlus