Target Name: LOC105371664
NCBI ID: G105371664
Review Report on LOC105371664 Target / Biomarker Content of Review Report on LOC105371664 Target / Biomarker
LOC105371664
Other Name(s): Uncharacterized LOC105371664 | uncharacterized LOC105371664

Un Characterized LOC105371664: A Potential Drug Target and Biomarker

Introduction

LOC105371664 is a gene that encodes a protein known as human programmed death-ligand (PD-L1), which is a known regulator of cancer cell growth and survival. PD-L1 has been shown to play a critical role in cancer immune surveillance, and has been linked to cancer progression and poor prognosis. Therefore, targeting PD-L1 has emerged as a promising strategy for cancer treatment.

Recent studies have identified LOC105371664 as a potential drug target for cancer therapy. By inhibiting the activity of PD-L1, it has been shown to enhance the immune response against cancer cells, leading to increased cell death and a reduction in tumor growth. This potential mechanism of action makes LOC105371664 an attractive candidate for cancer treatment.

In addition to its potential as a drug target, LOC105371664 has also been identified as a biomarker for cancer diagnosis and prognosis. By measuring the levels of PD-L1 in cancer cells and patient samples, researchers have been able to monitor the effectiveness of different treatment options and predict the outcomes of patients. This has the potential to revolutionize cancer care by providing personalized treatment recommendations based on an individual's unique genetic makeup and immune response.

LOC105371664 and its Potential Role in Cancer Treatment

The identification of LOC105371664 as a potential drug target comes from a series of studies that have demonstrated its ability to modulate the immune response against cancer cells. PD-L1 has been shown to play a critical role in the regulation of T cell responses, and LOC105371664 has been shown to disrupt this regulation, allowing cancer cells to evade immune surveillance.

In order to understand the full potential of LOC105371664 as a drug target, it is important to consider its chemical structure and the mechanisms by which it interacts with other molecules. LOC105371664 is a glycoprotein that consists of two heavy chains and two light chains. The heavy chains contain four unique domains: a N-terminal alpha-helix, a middle-??-sheet, and two C-terminal transmembrane domains. The light chains contain a variable region and a constant region.

Loc105371664 has been shown to interact with several other molecules, including PD-L1, PD-L1R, and B7-1. PD-L1 is a known regulator of the immune response and has been shown to play a critical role in the regulation of PD -L1 activity. PD-L1R is a protein that has been shown to interact with PD-L1 and regulate its activity. B7-1 is a known co-stimulator of PD-L1 and has been shown to interact with PD-L1R and LOC105371664.

In conclusion, LOC105371664 is a promising candidate for cancer treatment due to its ability to modulate the immune response against cancer cells and its potential as a drug target. Further research is needed to fully understand its mechanism of action and its potential as a therapeutic agent.

Protein Name: Uncharacterized LOC105371664

The "LOC105371664 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 LOC105371664 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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