0% Complete
صفحه اصلی
/
4th international edition and 13th Iranian Conference on Bioinformatics
Drug reproposing for brain cancer
نویسندگان :
Zahra Shahini
1
Farinaz Roshani
2
1- alzahra university
2- Alzahra University
کلمات کلیدی :
Brain Cancer،Network based Analysis،Drug Repurpose،Hub genes،PPI Network
چکیده :
Health and wellbeing are a crucial component for quality of society and life, one of the worries is cancer. Brain cancer has a highly negative emotional toll on patients and caregivers, the patient may lose their productivity and it has huge costs. Brain tumors can start in the brain or cancer can spread to the brain from other parts of the body and tumor treatment options depend on the type of brain tumor you have, as well as its size and location. Common treatments include surgery and radiation therapy. Drug reproposing is a way to re-use well-known drugs to control the undesirable genes expressed and as an immunological treatment, it helps the immune system to beaten the cancer. We chose a database on GEO and compared with significant genes on CoreMine using two statistical condition, p-value and |log FC|, there are 869 genes remain of over 16000. Then we used STRING to find PPI network, now we have the PPI network of the most important genes according to two databases. In this step we made a 5-cluster graph out if the PPI network and sorted the genes by node degree, then we picked 10 higher degree genes as hub genes. Using DGIdb database, we chose the effective drugs on these 10 hub genes and picked the approved by FDA. Then sort them by interaction score and made a list of hub genes and drugs. We considered the side effects of these drugs using Drug Bank database. The final result is the effective drugs with considering side effects that potentially can be used as a treatment for brain cancer. CINNARIZINE CLOFIBRATE ZANUBRUTINIB AFATINIB OBINUTUZUMAB TRIFLURIDINE PIRTOBRUTINIB MOBOCERTINIB DACOMITINIB ANHYDROUS
لیست مقالات
لیست مقالات بایگانی شده
DTMP-Prime: A Deep Transformer-based Model for Predicting Prime Editing Efficiency and PegRNA Activity
Roghayyeh Alipanahi - Leila Safari - Alireza Khanteymoori
Phylogenetic and In Silico Analysis of SQUAMOSA PROMOTER BINDING PROTEIN-LIKE (SPL) Gene Family in Crops
Amin Nasirpour - Abbasali Emamjomeh - Nasibe Chenarani
Bioinformatic Approach to Predict the Regulatory Mechanisms: TF–miRNA–mRNA–lncRNA Network during Cluster Development in Grape
Shahla Sahraei - Nafiseh Mahdinezhad - Abbasali Emamjomeh - Kaveh Kavousi - Mahmood Solouki - Massimo Delledonne
Bioinformatics investigation of the structure and function of photoprotein mnemiopsin2 following Glutamine 23 substitutions using a site-directed mutagenesis
Zahra Karimi Takaromi - Vahab Jafarian - Amir Dehghani - Khosrow Khalifeh - Fateme Khatami
Computational Screening of Signal Peptides for Optimized Secretory Production of Recombinant Lutheran b (Lub) Blood Group Antigen in Human Cell Lines
Kosar Asadi - Maryam Latifi - Mansoureh Shahbazi Dastjerdeh
Immunoinformatics Approach to Epitope-Based Vaccine Design for H5N1 Avian Influenza Virus
Yasmin Alamdar
PPI network construction and Cytoscape analysis for metastatic gastric cancer to ovary
Ameneh Hassani - Ghasem Bagherpour - Ali Salari - Behrooz Johari - Abdolmajid Ghaempanah
New inhibitors of the Toxoplasmosis by in-silico drug repurposing
Milad Jaberi - Masoud Aliyar - Mosleh Kadkhodamohammadi - Parva Karimimousivandi
"Molecular Docking Study of Natural Compounds from Daucus carota as Inhibitors of VEGFR-2: A Computational Approach for Drug Design"
MohammadMoein Bashi Mehrizi - Seyed Mohammad Mahdi Mortazavian - Hossein Hadavand Mirzaei
Herbal Drug Candidate as DNA Gyrase Inhibitor in M. Tuberculosis (Causative Agent of Tuberculosis)
Ali Abolhasanzadeh Parizi
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.7.0