Chapter title |
In Silico Design of Anticancer Peptides
|
---|---|
Chapter number | 17 |
Book title |
Proteomics for Drug Discovery
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-7201-2_17 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7200-5, 978-1-4939-7201-2
|
Authors |
Shailesh Kumar, Hui Li |
Abstract |
In the past few years, small peptides having anticancer properties have emerged as a potential avenue for cancer therapy. Compared to current anti-cancer chemotherapeutic drugs (or small molecules), anticancer peptides (ACPs) have numerous advantageous properties, such as high specificity, low production cost, high tumor penetration, ease of synthesis and modification. However, in wet lab setups, identification and characterization of novel ACPs is a time-consuming and labor-intensive process. Therefore, in silico designing of anticancer peptides is beneficial, prior to their synthesis and characterization. This approach is less time consuming and more cost-effective. In this chapter, we discuss a web-based tool, AntiCP (http://crdd.osdd.net/raghava/anticp/), for designing ACPs. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 51 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 22% |
Student > Master | 9 | 18% |
Student > Bachelor | 6 | 12% |
Researcher | 3 | 6% |
Professor | 2 | 4% |
Other | 4 | 8% |
Unknown | 16 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 14 | 27% |
Agricultural and Biological Sciences | 5 | 10% |
Medicine and Dentistry | 4 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
Computer Science | 2 | 4% |
Other | 4 | 8% |
Unknown | 20 | 39% |