Indonesian Journal of Medical Chemistry and Bioinformatics
Most Popular Papers *
Phytochemical Analysis, Antioxidant and Anticancer Effects of Clitoria ternatae Extract on Breast T47D Cancer Cells
Ade Arsianti, Shahjahan Pasha Mahindra, Norma Nur Azizah, Ajeng Megawati Fajrin, and Lince Dameria Nadapdap
https://doi.org/10.7454/ijmcb.v1i1.1003
Analysis and Visualization Of Molecular Docking 2hi4 Protein
innas widiasti
https://doi.org/10.7454/ijmcb.v1i1.1002
Phytochemical Screening, Antioxidant Activity, and Cytotoxicity of Ethanol, Ethyl Acetate, and n-Hexane Kluwak (Pangium edule) Extract on MCF-7 Breast Cancer Cells
Raniindra Khalisha Soediro Abidin and Ade Arsianti
https://doi.org/10.7454/ijmcb.v2i2.1027
Phytochemical Constituent and Antioxidant Activity Evaluation of Red Seaweed Eucheuma sp.
Ade Arsianti
https://doi.org/10.7454/ijmcb.v2i1.1019
Innovation in Bioinformatics: Recent tools, Database and Involvement of Artificial Intelligence
Aziz Ahmed, Mohd Shuaib, Abdulbasid Banga, and Rizwan Ahmad
https://doi.org/10.7454/ijmcb.v2i2.1026
Single Nucleotide Polymorphisms in Plasmodium falciparum Genes: Their Roles in Antimalarial Drugs Resistance and Recent Detection Strategies
Raihanny Andrea Zahra, Ananda Maulana Fanshur, Aurelia Maria Prajna Saraswati, and Nurul Inayah Rahmani
https://doi.org/10.7454/ijmcb.v2i1.1005
A Computational Exploration: Docking Analysis of Compounds from Foeniculum vulgare as Potential Aromatase Inhibitors for Endometriosis Candidate Therapy
Dwi Anita Suryandari, Puji Sari, Hadi Sunaryo, and Khaerunissa Anbar Istiadi
https://doi.org/10.7454/ijmcb.v2i2.1024
Phytochemical Assay and in – Vitro Cytotoxicity Assessment of Cassava Peel (Manihot esculenta) from Ethanol and Ethyl Acetate Extract Against Cervical Cancer Cells (HeLa)
Alice Hari Soejono, Surya Dwira, and Puji Sari
https://doi.org/10.7454/ijmcb.v2i2.1030
Comparison of Serum Albu-min Levels in The Breast Milk of Breastfeeding Infants Aged 1-3 Months and 4-6 Months
Ninik Mudjihartini
https://doi.org/10.7454/ijmcb.v1i2.1015
Biomarker Metabolite Discovery for Pancreatic Cancer using Machine Learning
Immanuelle Kezia, Linda Erlina, aryo tedjo, and Fadilah Fadilah
https://doi.org/10.7454/ijmcb.v1i2.1017
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» Updated as of 06/24/24.
