Prediction of Anticancer Peptides Using a Low-Dimensional Feature Model
نویسندگان
چکیده
منابع مشابه
In silico prediction of anticancer peptides by TRAINER tool
Cancer is one of the causes of death in the world. Several treatment methods exist against cancer cells such as radiotherapy and chemotherapy. Since traditional methods have side effects on normal cells and are expensive, identification and developing a new method to cancer therapy is very important. Antimicrobial peptides, present in a wide variety of organisms, such as plants, amphibians and ...
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cancer is one of the causes of death in the world. several treatment methods exist against cancer cells such as radiotherapy and chemotherapy. since traditional methods have side effects on normal cells and are expensive, identification and developing a new method to cancer therapy is very important. antimicrobial peptides, present in a wide variety of organisms, such as plants, amphibians and ...
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Cancer is the second leading cause of death globally, and use of therapeutic peptides to target and kill cancer cells has received considerable attention in recent years. Identification of anticancer peptides (ACPs) through wet-lab experimentation is expensive and often time consuming; therefore, development of an efficient computational method is essential to identify potential ACP candidates ...
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Sediment rating curve is an essential factor for many river engineering subjects and computations such as dredging, design of storage dams, river intakes design and sand mining management. Although, this curve is established using simultaneous measurement of flow and sediment transport discharges, however, due to lack of reliable data during flood events, it has limited reliability in flood con...
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ژورنال
عنوان ژورنال: Frontiers in Bioengineering and Biotechnology
سال: 2020
ISSN: 2296-4185
DOI: 10.3389/fbioe.2020.00892