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Baranitharan Ethiraj on Muck Rack

Baranitharan Ethiraj

As seen in: Nature, MDPI
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Articles

Integrating machine learning and structure-based simulations to prioritise Z4P as a mutation-resilient IRE1α inhibitor for breast cancer

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By Baranitharan Ethiraj, Rajkumar Sivanraju, Nithisha L. Bastin, P. K. Praveen Kumar, Ravikumar Rajarathinam, J. Shrihari
| Nature Verified
Abstract Breast cancer is one of the most prevalent and lethal malignancies affecting women globally. The increasing resistance to current therapeutic strategies highlights the need for novel molecular targets. Inositol-requiring enzyme 1 alpha (IRE1α), a key sensor in the unfolded protein response (UPR), has emerged as a promising therapeutic target due to its role in tumour progression and survival.
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Optimization of the Performances of Palm Oil Mill Effluent (POME)-Based Biogas Plants Using Comparative Analysis and Response Surface Methodology

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By Yi Chan, Phei Li Lau, Baranitharan Ethiraj, Ayman A. Ghfar
| MDPI
1. Introduction One of the major commodities in Malaysia, the palm oil industry, has seen a rise in recent years due to growing demand from food industries, biofuel, and cosmetics. Accounting for up to 46% of global palm oil export, the industry contributes greatly to the country’s economic growth [1]. On average, crude palm oil yield is about 21% of the fresh fruit bunch (FFB), with the remaining 79% being waste [2].
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