Target Name: OGDHL
NCBI ID: G55753
Review Report on OGDHL Target / Biomarker Content of Review Report on OGDHL Target / Biomarker
OGDHL
Other Name(s): YOBELN | Alpha-ketoglutarate dehydrogenase-like | 2-oxoglutarate dehydrogenase-like, mitochondrial (isoform a) | 2-oxoglutarate dehydrogenase complex component E1-like | oxoglutarate dehydrogenase like | oxoglutarate dehydrogenase L | 2-oxoglutarate dehydrogenase-like, mitochondrial | 2-oxoglutarate dehydrogenase E1 component-like, mitochondrial | OGDC-E1-like | OGDHL variant 1 | Oxoglutarate dehydrogenase L, transcript variant 1 | KIAA1290 | OGDHL_HUMAN | alpha-ketoglutarate dehydrogenase-like

OGDHL: A Computational Tool for Analyzing Gene Expression Patterns

OGDHL (Orderly Gene-Driven High-Throughput Library) is a computational tool that has been developed to analyze and identify gene expression patterns in various organisms. It is used in the field of genomics to study gene function, and is particularly useful for identifying potential drug targets or biomarkers.

OGDHL is a user-friendly and powerful tool that allows researchers to quickly and efficiently analyze large datasets. It is able to identify gene expression patterns in a wide variety of organisms, including plants, animals, and bacteria.

One of the key features of OGDHL is its ability to identify gene expression patterns in response to different stimuli. This makes it an ideal tool for identifying potential drug targets or biomarkers. For example, researchers can use OGDHL to identify genes that are highly expressed in response to a particular drug, which could then be used to develop a new drug or therapy.

In addition to its ability to identify gene expression patterns in response to different stimuli, OGDHL is also equipped with a number of other features that make it a valuable tool for genomics research. For example, it is able to identify genes that are co-expressed in multiple organisms, which can help researchers understand how different organisms respond to the same stimuli.

OGDHL is also designed to be highly customizable. Researchers can use it to analyze datasets from a variety of sources, including RNA sequencing experiments, gene expression microarray datasets, and gene expression data from cell-based assays. This makes it a versatile tool that can be used in a wide range of genomics research applications.

In conclusion, OGDHL is a valuable tool for genomics research. Its ability to identify gene expression patterns in response to different stimuli makes it an ideal tool for identifying potential drug targets or biomarkers. Its customizable nature also makes it a valuable tool for a wide range of genomics research applications.

Protein Name: Oxoglutarate Dehydrogenase L

Functions: 2-oxoglutarate dehydrogenase (E1-like) component of the 2-oxoglutarate dehydrogenase multienzyme complex (OGDHC) which mediates the decarboxylation of alpha-ketoglutarate in the tricarboxylic acid cycle. The OGDHC complex catalyzes the overall conversion of 2-oxoglutarate to succinyl-CoA and CO(2) while reducing NAD(+) to NADH (By similarity). The OGDHC complex is mainly active in the mitochondrion (By similarity). Involved in the inhibition of cell proliferation and in apoptosis (PubMed:23152800, PubMed:31175094)

The "OGDHL Target / Biomarker Review Report" is a customizable review of hundreds up to thousends of related scientific research literature by AI technology, covering specific information about OGDHL comprehensively, including but not limited to:
•   general information;
•   protein structure and compound binding;
•   protein biological mechanisms;
•   its importance;
•   the target screening and validation;
•   expression level;
•   disease relevance;
•   drug resistance;
•   related combination drugs;
•   pharmacochemistry experiments;
•   related patent analysis;
•   advantages and risks of development, etc.
The report is helpful for project application, drug molecule design, research progress updates, publication of research papers, patent applications, etc. If you are interested to get a full version of this report, please feel free to contact us at BD@silexon.ai

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