INEVITABLE EMPLOYING COMPUTATIONAL METHODS AND MOLECULAR MODELING TO ACHIEVE NOVEL ANTICANCER MEDICINE

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LARI AREZOU; HAGHKHAH MARYAM; YAZDANI MOHSEN

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Journal: ZANKO JOURNAL OF MEDICAL SCIENCES Year:2017 | Volume:17 | Issue:55 Page(s): 79-89

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Information Journal Paper

Title

INEVITABLE EMPLOYING COMPUTATIONAL METHODS AND MOLECULAR MODELING TO ACHIEVE NOVEL ANTICANCER MEDICINE

Author(s)

LARI AREZOU | HAGHKHAH MARYAM | YAZDANI MOHSEN | Issue Writer Certificate

Keywords

COMPUTATIONAL METHODQ1

MOLECULAR MODELINGQ2

CANCERQ2

Abstract

Background and Aim: CANCER is a complex collection of dynamic genome mutation which appears in the body with broad changes in the cell surface and tissue. The goal is to attain new methods that with less expense of time and money are able to design more efficient drugs with fewer side effects.Materials and Methods: Today, the number of small molecules discovered in the treatment of CANCER grew considerably because of the availability of strong drug design technologies. With having an access to the human genome project and making a target of genes responsible for CANCER using computational modeling, identification and treatment of CANCER is possible with less expense of time and cost. Several key parameters that are not attainable in experiments can be computed in four levels of atomic, molecular, microscopic and macroscopic.Results: Computational modeling in drug design is a valuable measure in the targeted discovery and production of new anticancer drugs. QSAR, docking, and molecular dynamics simulation are among these methods.

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APA: Copy

LARI, AREZOU, HAGHKHAH, MARYAM, & YAZDANI, MOHSEN. (2017). INEVITABLE EMPLOYING COMPUTATIONAL METHODS AND MOLECULAR MODELING TO ACHIEVE NOVEL ANTICANCER MEDICINE. ZANKO JOURNAL OF MEDICAL SCIENCES, 17(55), 79-89. SID. https://sid.ir/paper/113099/en

Vancouver: Copy

LARI AREZOU, HAGHKHAH MARYAM, YAZDANI MOHSEN. INEVITABLE EMPLOYING COMPUTATIONAL METHODS AND MOLECULAR MODELING TO ACHIEVE NOVEL ANTICANCER MEDICINE. ZANKO JOURNAL OF MEDICAL SCIENCES[Internet]. 2017;17(55):79-89. Available from: https://sid.ir/paper/113099/en

IEEE: Copy

AREZOU LARI, MARYAM HAGHKHAH, and MOHSEN YAZDANI, “INEVITABLE EMPLOYING COMPUTATIONAL METHODS AND MOLECULAR MODELING TO ACHIEVE NOVEL ANTICANCER MEDICINE,” ZANKO JOURNAL OF MEDICAL SCIENCES, vol. 17, no. 55, pp. 79–89, 2017, [Online]. Available: https://sid.ir/paper/113099/en

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