Publications by authors named "M Khalidul Islam"

Background And Aim: The high rate of tumor growth results in an increased need for amino acids. As solute carriers (SLC) transporters are capable of transporting different amino acids, cancer may develop as a result of these transporters' over-expression due to their complex formation with other biological molecules. Therefore, this review investigated the role of SLC transporters in the progression of cancer.

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All-solid-state lithium-ion batteries (ASSLBs) are the next advancement in battery technology which is expected to power the next generation of electronics, particularly electric vehicles due to their high energy density and superior safety. ASSLBs require solid electrolytes with high ionic conductivity to serve as a Li-ion battery, driving extensive research efforts to enhance the ionic conductivity of the existing solid electrolytes. Keeping this in view, the B-site of LiLaTiO (LLTO) solid electrolyte has been partially substituted with Ga and novel Ga-doped LLTO (Li LaTi Ga O) solid-electrolytes are fabricated using the solid-state reaction method, followed by sintering at 1100 °C for 2 h.

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Hepatic steatosis/non-alcoholic fatty liver disease is a major public health delinquent caused by the excess deposition of lipid into lipid droplets (LDs) as well as metabolic dysregulation. Hepatic cells buildup with more fat molecules when a person takes high fat diet that is excessive than the body can handle. At present, millions of people in the world are affected by this problem.

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Objectives: To predict and characterize the three-dimensional (3D) structure of protein arginine methyltransferase 2 (PRMT2) using homology modeling, besides, the identification of potent inhibitors for enhanced comprehension of the biological function of this protein arginine methyltransferase (PRMT) family protein in carcinogenesis.

Materials And Methods: An method was employed to predict and characterize the three-dimensional structure. The bulk of PRMTs in the PDB shares just a structurally conserved catalytic core domain.

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The dataset contains user engagement and language-related information from two audio story-producing channels on YouTube. It offers a comparative view of live and mediated engagements, which includes information pertinent to the user's interaction of audio-story based YouTube contents. The speciality of this dataset is the inclusion of textual data of live comments on YouTube videos.

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