Cargando…
ACPred-BMF: bidirectional LSTM with multiple feature representations for explainable anticancer peptide prediction
Cancer has become a major factor threatening human life and health. Under the circumstance that traditional treatment methods such as chemotherapy and radiotherapy are not highly specific and often cause severe side effects and toxicity, new treatment methods are urgently needed. Anticancer peptide...
Autores principales: | Han, Bingqing, Zhao, Nan, Zeng, Chengshi, Mu, Zengchao, Gong, Xinqi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763336/ https://www.ncbi.nlm.nih.gov/pubmed/36535969 http://dx.doi.org/10.1038/s41598-022-24404-1 |
Ejemplares similares
-
ACPred: A Computational Tool for the Prediction and Analysis of Anticancer Peptides
por: Schaduangrat, Nalini, et al.
Publicado: (2019) -
BMF-AS1/BMF Promotes Diabetic Vascular Calcification and Aging both In Vitro and In Vivo
por: Lin, Xiao, et al.
Publicado: (2023) -
Barrel-muon-spectrometer: BMF
Publicado: (2005) -
Barrel-muon-spectrometer: BMF
Publicado: (2005) -
Barrel-muon-spectrometer: BMF
Publicado: (2004)