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Natural radioprotectors and their impact on cancer drug discovery
Radiation Oncology Journal ; : 265-275, 2018.
Article in English | WPRIM | ID: wpr-741964
ABSTRACT
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.
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Full text: Available Index: WPRIM (Western Pacific) Main subject: Radiation Tolerance / Radiotherapy / United States Food and Drug Administration / Computer Simulation / Amifostine / Quantitative Structure-Activity Relationship / Drug Therapy / Cytostatic Agents / Drug Discovery Type of study: Prognostic study Limits: Humans Language: English Journal: Radiation Oncology Journal Year: 2018 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Radiation Tolerance / Radiotherapy / United States Food and Drug Administration / Computer Simulation / Amifostine / Quantitative Structure-Activity Relationship / Drug Therapy / Cytostatic Agents / Drug Discovery Type of study: Prognostic study Limits: Humans Language: English Journal: Radiation Oncology Journal Year: 2018 Type: Article