Targeting DHFR in breast cancer: exploring expression patterns and identifying potential inhibitors through docking studies

Targeting DHFR in breast cancer: exploring expression patterns and identifying potential inhibitors through docking studies

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Pharmacy, 2024.

Bibliografiset tiedot
Päätekijä:	Araf, Faiaz Fahim
Muut tekijät:	Mustafa, Nashrah
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	Brac University 2024
Aiheet:	Dihydrofolate reductase Breast cancer DHFR expression Molecular docking Breast > Cancer Drugs > Computer-aided design
Linkit:	http://hdl.handle.net/10361/23949

Samankaltaisia teoksia

Breast cancer awareness seminars
Tekijä: Anwer Khan Modern Medical College
Julkaistu: (2016)

Recent advancement on breast cancer detection and treatment
Tekijä: Rahman, Sanjida
Julkaistu: (2023)

In silico analysis revealed hsa-miR-19a-3p and hsa-miR-19b-3p as two potential inhibitors of EGF mRNA in Breast Cancer
Tekijä: Nuha, Nabiha Tahsin
Julkaistu: (2024)

Natural products and their combinatory effects in breast cancer treatment
Tekijä: Siddique, Md. Ayman
Julkaistu: (2021)

Targeted therapeutic options in the treatment of Breast Cancer
Tekijä: Alam, Kazi Tasnuva
Julkaistu: (2022)

Drug repurposing: potential of Antimicrobial Drugs in Breast Cancer Treatment
Tekijä: Chakraborty, Anuradha
Julkaistu: (2024)

A review on triple-negative breast cancer and its potential treatment
Tekijä: Niasa, Jannatul Ferdous
Julkaistu: (2023)

Pooled analysis of progression-free survival and overall survival in phase II clinical trials of breast cancer
Tekijä: Shobnam, Sohana
Julkaistu: (2024)

A review of Breast Cancer risk factor assessment on women in developing countries, cancer drug resistance, and Breast Cancer treatment in Bangladesh
Tekijä: Raihan, Dilraj
Julkaistu: (2024)

The impact of breast cancer on women’s lives in Bangladesh
Tekijä: Mobashera, Tayeeba Tum
Julkaistu: (2024)

Comparison of conventional doxorubicin with liposome encapsulated doxorubicin as a treatment of breast cancer-a review
Tekijä: Akter, Honufa
Julkaistu: (2024)

Machine learning as an indicator for breast cancer prediction
Tekijä: Shadman, Tahsin Mohammed, et al.
Julkaistu: (2019)

Breast cancer in low-resource settings: Prioritizing the awareness and access programmes to overcome sociocultural and economic barriers for early detection and improved outcomes
Tekijä: Iqbal, Mohammad Shamim, et al.
Julkaistu: (2017)

Breast cancer therapy through Liposomal drug delivery system
Tekijä: Ome, Nusrat Jahan
Julkaistu: (2024)

Pathway analysis of Disease-Gene associated network in the human breast cancer
Tekijä: Lamia
Julkaistu: (2020)

A review on the potential of repurposing of metformin for colon cancer and breast cancer
Tekijä: Oishy, Jannatun Noor
Julkaistu: (2024)

Early detection of breast cancer using machine learning
Tekijä: Fuad, Wasi Mohammad
Julkaistu: (2019)

Breast cancer in South Asia: a Bangladeshi perspective
Tekijä: Hossain, Mohammad Sorowar, et al.
Julkaistu: (2017)

Tamoxifen: The ideal post operative hormonal therapy to demote Ductal Carcinoma in Situ
Tekijä: Mirza, Maisa Tasnim
Julkaistu: (2023)

Breast cancer prediction using different machine learning models
Tekijä: Khandker Al- Muhaimin, et al.
Julkaistu: (2020)

Association of BRCA1, BRCA2, RAD51, and HER2 gene polymorphisms with the breast cancer risk in the Bangladeshi population
Tekijä: Parvin, Salma, et al.
Julkaistu: (2016)

InSilico structure based designing of dihydrofolate reductase enzyme antagonists and potential small molecules that target DHFR protein to inhibit the folic acid biosynthetic pathways
Tekijä: Hossain, Md. Sameer
Julkaistu: (2018)

Inhibition of Fibroblast Activation Protein alpha (FAP-α) in Colorectal Cancer
Tekijä: Tabassum, Azwada
Julkaistu: (2021)

Computational insights into molecular docking strategies for non-small cell lung cancer drug discovery
Tekijä: Das, Reshita
Julkaistu: (2024)

Genetic innovations for breast cancer treatment : a review of gene therapy strategies and future implications
Tekijä: Hasan, Sakib
Julkaistu: (2024)

Machine learning In breast cancer prognosis and prediction
Tekijä: Chowdhury, Shah Abul Hasnat, et al.
Julkaistu: (2023)

A review on newly approved PARP inhibitors: Talazoparib and Olaparib
Tekijä: Karim, Azrin
Julkaistu: (2024)

Use of combination of satins as antagonists of SPARC in stomach cancer: an in silico study
Tekijä: Rashed, Sadman Sakib Bin
Julkaistu: (2019)

A review on principles of molecular docking and its application in drug discovery
Tekijä: Sharif Ezzaz, Ahamed
Julkaistu: (2024)

Heat shock protein: potential approach for chemotherapy
Tekijä: Sykut, Md. Rezaul Hoque
Julkaistu: (2022)

Bioinformatics analyses of key regulators of NF-κB pathway in relation with small cell lung carcinoma
Tekijä: Zangmo, Thinley
Julkaistu: (2024)

A review on potential of PARP inhibitors in the treatment of prostate cancer
Tekijä: Islam, Saidul
Julkaistu: (2022)

Molecules associated with the development of lung cancer
Tekijä: Rahman, Adree, et al.
Julkaistu: (2023)

SHP2 inhibitors: Recent advancements and potential breakthroughs in cancer therapy
Tekijä: Meem, Manila
Julkaistu: (2023)

Molecular biology of cancer : mechanisms, targets, and therapeutics /
Tekijä: Pecorino, Lauren
Julkaistu: (2012)

Application of deep convolutional neural network in breast cancer prediction using Digital Mammograms
Tekijä: Al Mamun, Rafsan, et al.
Julkaistu: (2022)

Molecular docking of Fluvastatin and Teneligliptin targeting AT1R in hypertension
Tekijä: Jahan, Esrat
Julkaistu: (2020)

Automatic docking system using sonar
Tekijä: Akther, Rabeya, et al.
Julkaistu: (2015)

Best feature selection and data visualization for breast cancer prediction
Tekijä: Hemel, Tanjim Ahmed, et al.
Julkaistu: (2020)

Statistics and informatics in molecular cancer research