Prediction of intrinsically disordered regions in proteins using signal processing methods: application to heat-shock proteins

• Published in: Medical & biological engineering & computing Vol. 54; no. 12; pp. 1831 - 1844
• Main Authors: Vojisavljevic, Vuk, Pirogova, Elena
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2016; Springer Nature B.V
• Subjects: Algorithms; Amino Acid Sequence; Amino acids; Animals; Apoptosis; Binding Sites; Biological activity; Biomedical and Life Sciences; Biomedical Engineering and Bioengineering; Biomedicine; Cancer; Cancer therapies; Cell death; Computer Applications; Diabetes mellitus; Enzymes; Function analysis; Heat shock proteins; Heat-Shock Proteins - chemistry; Heat-Shock Proteins - metabolism; Human Physiology; Humans; Imaging; Immunotherapy; Intrinsically Disordered Proteins - chemistry; Intrinsically Disordered Proteins - metabolism; Medical services; Mice; Neural networks; Neurodegenerative diseases; Original Article; Predictions; Protein structure; Proteins; Radiology; Signal processing; Signal Processing, Computer-Assisted; Structure-function relationships; Studies; Intrinsic disorder; Signal processing; Active/binding site; Cancer; HSPs

Heat-shock protein (HSP)-based immunotherapy is believed to be a promising area of development for cancer treatment as such therapy is characterized by a unique approach to every tumour. It was shown that by inhibition of HSPs it is possible to induce apoptotic cell death in cancer cells. Interestin...