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Adaptive Mechanisms in Cancer Cells

Adaptive Mechanisms in Cancer Cells

Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...

Non-equilibrium in the Cell

Non-equilibrium in the Cell

An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...

Adaptive Mechanisms in Cancer Cells

Adaptive Mechanisms in Cancer Cells

Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...

Drug Discovery: Overview

Drug Discovery: Overview

Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...

Pharmacogenomics: Identification of New Drug Targets

Pharmacogenomics: Identification of New Drug Targets

Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...

Automatic Processing and Automatic Social Behavior

Automatic Processing and Automatic Social Behavior

Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...

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Updated: Jun 19, 2026

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通过可解释的人工智能平台AgeXtend发现老年保护剂.

Sakshi Arora¹, Aayushi Mittal¹, Subhadeep Duari¹

¹Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), New Delhi, India.

|December 3, 2024

概括

此摘要是机器生成的。

研究人员开发了AgeXtend,一个AI平台,以发现新的衰老减缓化合物. 这种工具成功地识别了已知的长寿分子,并选了数十亿种化合物,在模型生物和人体细胞中验证了新型体质保护剂.

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Last Updated: Jun 19, 2026

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科学领域:

生物遗传学生物遗传学
计算生物学计算生物学
代谢学代谢学代谢学

背景情况:

衰老的特点是代谢变化影响细胞健康,许多代谢物的作用仍然未知.
研究已知促进长寿的化合物为人们提供了关于衰老机制的见解,并有助于发现新的老年保护剂.

研究的目的:

介绍AgeXtend,这是一个人工智能驱动的平台,用于预测老年保护性化合物.
验证AgeXtend在识别新型长寿分子和理解衰老途径方面的能力.

主要方法:

开发了AgeXtend,这是一个集成已知的老年保护体生物活性数据的AI平台,用于预测,毒性评估和机制识别.
使用AgeXtend.tend.选了大约11亿种化合物.
通过酵母和Caenorhabditis elegans的寿命测定验证了预测的老年保护剂,并研究了微生物组衍生代谢物.
在人类纤维细胞衰老试验中,评估了内源代谢物作为老年调节剂.

主要成果:

AgeXtend准确地识别了已知的老年保护剂 (如甲胺和氨酸) 的益寿效应,即使是那些不用于训练的药物.
该平台有助于识别和实验验证许多新型潜在的老年保护剂.
内源代谢物被确定为潜在的老年调节剂,为衰老研究提供了新的途径.

结论:

AgeXtend是一个强大的AI工具,用于发现老年保护剂和阐明衰老机制.
该平台的研究结果突显出未经探索的化合物和内源代谢物的潜力,可以调节衰老.
这项工作促进了对衰老中的代谢网络的理解,并为确定长寿干预措施提供了可扩展的方法.