Natural radioprotectors and their impact on cancer drug discovery
| Autor: | Pavan Gollapalli, Vinutha Kuruba |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Side effect medicine.medical_treatment Review Article 03 medical and health sciences 0302 clinical medicine Therapeutic index Medicine Radiology Nuclear Medicine and imaging Quantitative structure-activity relationship Radiosensitizers Drug discovery business.industry Cancer Amifostine medicine.disease Radiation therapy 030104 developmental biology Oncology Drug development Cancer radiotherapy 030220 oncology & carcinogenesis Cancer cell Cancer research Radioprotectors business medicine.drug |
| Zdroj: | Radiation Oncology Journal |
| ISSN: | 2234-3156 2234-1900 |
| DOI: | 10.3857/roj.2018.00381 |
| Popis: | Cancer is a complex multifaceted illness that affects different patients in discrete ways. For a number of cancers the use of chemotherapy has become standard practice. Chemotherapy is a use of cytostatic drugs to cure cancer. Cytostatic agents not only affect cancer cells but also affect the growth of normal cells; leading to side effects. Because of this, radiotherapy gained importance in treating cancer. Slaughtering of cancerous cells by radiotherapy depends on the radiosensitivity of the tumor cells. Efforts to improve the therapeutic ratio have resulted in the development of compounds that increase the radiosensitivity of tumor cells or protect the normal cells from the effects of radiation. Amifostine is the only chemical radioprotector approved by the US Food and Drug Administration (FDA), but due to its side effect and toxicity, use of this compound was also failed. Hence the use of herbal radioprotectors bearing pharmacological properties is concentrated due to their low toxicity and efficacy. Notably, in silico methods can expedite drug discovery process, to lessen the compounds with unfavorable pharmacological properties at an early stage of drug development. Hence a detailed perspective of these properties, in accordance with their prediction and measurement, are pivotal for a successful identification of radioprotectors by drug discovery process. |
| Databáze: | OpenAIRE |
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