Cargando…
iACP: a sequence-based tool for identifying anticancer peptides
Cancer remains a major killer worldwide. Traditional methods of cancer treatment are expensive and have some deleterious side effects on normal cells. Fortunately, the discovery of anticancer peptides (ACPs) has paved a new way for cancer treatment. With the explosive growth of peptide sequences gen...
Autores principales: | Chen, Wei, Ding, Hui, Feng, Pengmian, Lin, Hao, Chou, Kuo-Chen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4941358/ https://www.ncbi.nlm.nih.gov/pubmed/26942877 http://dx.doi.org/10.18632/oncotarget.7815 |
Ejemplares similares
-
iRNA-AI: identifying the adenosine to inosine editing sites in RNA sequences
por: Chen, Wei, et al.
Publicado: (2016) -
iRNA-3typeA: Identifying Three Types of Modification at RNA’s Adenosine Sites
por: Chen, Wei, et al.
Publicado: (2018) -
iRNA-PseColl: Identifying the Occurrence Sites of Different RNA Modifications by Incorporating Collective Effects of Nucleotides into PseKNC
por: Feng, Pengmian, et al.
Publicado: (2017) -
EnACP: An Ensemble Learning Model for Identification of Anticancer Peptides
por: Ge, Ruiquan, et al.
Publicado: (2020) -
Benchmark data for identifying N(6)-methyladenosine sites in the Saccharomyces cerevisiae genome
por: Chen, Wei, et al.
Publicado: (2015)