相关实验视频

Updated: Jul 23, 2025

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

基于生成预训练变压器 (GPT) 的模型,相对关注 de novo 药物设计

Suhail Haroon¹, Hafsath C A¹, Jereesh A S¹

¹Bioinformatics Lab, Department of Computer Science, Cochin University of Science and Technology, Kerala 682022, India.

Computational biology and chemistry

|July 14, 2023

概括

这项研究引入了一种生成预训练变压器 (GPT) 模型,相对关注新药设计,增强分子生成. 该模型提高了新药发现的有效性,独特性和新性.

科学领域:

计算化学是一种计算化学.
药品化学药品化学是一个
人工智能在药物发现中的作用

背景情况:

药物设计 de novo 计算生成新的分子.
使用变压器架构的生成预训练变压器 (GPT) 模型可以预测分子序列.
SMILES标记使GPT模型的分子表示成为可能.

研究的目的:

建议使用相对关注的生成预训练变压器 (GPT) 架构设计新型药物设计模型.
在药物设计的GPT模型中探索相对注意力对标准注意力机制的优势.
评估模型在生成有效,独特和新药分子方面的表现.

主要方法:

使用了具有相对注意力机制的生成预训练变压器 (GPT) 架构.
使用SMILES符号表示的分子用于基于序列的生成.
在使用转移学习的基准数据集和特定目标数据集上训练模型.
与标准的注意力机制和其他生成模型进行性能比较.

主要成果:

提出的GPT模型与相对关注表明改善了分子生成.
相对注意力提高了模型捕捉符号关系和位置信息的能力.
转移学习进一步改善了具有更好的有效性,独特性和新性的目标特定分子的生成.
与标准注意力和其他生成方法相比,该模型显示出更高的性能.

结论:

相对注意力是基于GPT的新药设计的关键进步.
拟议的模型有效地产生了新的和有效的类似药物的分子.
这种方法具有加速药物发现和探索新化学空间的巨大潜力.

关键词:

丹诺沃药物设计公司药物设计药物设计在 GPT 中,GPT 必须是 GPT.蒙面的自我注意力相对注意力相对注意力.针对特定目标的药物.变压器解码器变压器解码器

更多相关视频

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

Published on: April 21, 2023

Chemogenetic Regulation in Reprogrammed Stem Cell-derived Precursor Cells in Treating Neurodegenerative Diseases

Chemogenetic Regulation in Reprogrammed Stem Cell-derived Precursor Cells in Treating Neurodegenerative Diseases

Published on: May 2, 2025

相关概念视频

Improving Translational Accuracy

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...

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...

Targets for Drug Action: Overview

Targets for Drug Action: Overview

Drugs target macromolecules to modify ongoing cellular processes. Primary drug targets include receptors, ion channels, transporters, and enzymes.
Receptors are either membrane-spanning or intracellular proteins, which upon binding a ligand, get activated and transmit the signal downstream to elicit a response. Drugs bind receptors, either mimicking the action of endogenous ligands or blocking the receptor activity to bring about a modified response. Nearly 35% of approved drugs target the G...

Prodrugs

Prodrugs

Prodrugs are a class of pharmaceutical compounds that undergo a biotransformation process within the body to be converted into a pharmacologically active drug. Prodrugs are designed to improve the therapeutic properties of the parent drug, such as enhancing bioavailability, increasing stability, or reducing toxicity. The concept of prodrugs revolves around modifying the chemical structure of the original drug to make it more effective or convenient for administration.
Prodrugs help overcome...

Structure-Activity Relationships and Drug Design

Structure-Activity Relationships and Drug Design

Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...

Drug Biotransformation: Overview

Drug Biotransformation: Overview

Pharmaceutical substances known as xenobiotics are predominantly lipophilic and nonionized. This enables them to permeate lipid bilayers, such as cell membranes, and interact with intracellular target receptors. Lipophilic drugs have an advantage in crossing biological barriers and reaching their intended sites of action. However, lipophilic drugs often have a restricted capacity for renal expulsion or elimination from the body. When these drugs enter the kidneys and undergo glomerular...