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相关概念视频

Improving Translational Accuracy02:07

Improving Translational Accuracy

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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...
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Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
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Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
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Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked.  In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence...
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During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA.  Marilyn Kozak discovered that the sequence RCCAUGG (where R...
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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
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相关实验视频

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Optical Tweezers to Study RNA-Protein Interactions in Translation Regulation
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一个域名标签引导的翻译模型用于分子优化.

Yajie Zhang1, Yongqi Tong1, Xin Xia2

  • 1School of Computer Science and Technology, Anhui University, Hefei, 230601, China.

Methods (San Diego, Calif.)
|February 23, 2024
PubMed
概括

本研究介绍了用于分子优化的域标签引导翻译模型 (DLTM). 通过产生具有所需性质的多样化分子,DLTM增强了药物发现,克服了现有方法的局限性.

关键词:
深度学习是一种深度学习.药物发现 药物发现分子优化分子优化

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科学领域:

  • 计算化学是一种计算化学.
  • 药物发现 药物发现
  • 机器学习在化学中的应用

背景情况:

  • 分子优化对于药物发现至关重要,但具有挑战性.
  • 现有的分子优化翻译模型通常需要匹配的分子对,从而限制了数据集的适用性.
  • 不需要匹配对的模型通常会因为监督不足而牺牲性能.

研究的目的:

  • 为分子优化提出一个新的域标签引导翻译模型 (DLTM).
  • 通过结合域标签信息来解决现有的分子优化模型的局限性.
  • 改进具有所需性质的多样化分子的生成.

主要方法:

  • 开发了一个域名标签引导的翻译模型 (DLTM).
  • 利用域名标签信息作为生成多种分子嵌入的控制条件.
  • 包含一个分类器网络来引导分子生成以达到所需的特性.

主要成果:

  • 与基线模型相比,DLTM在分子优化任务上表现出更高的性能.
  • 该模型通过利用域名标签信息有效生成多种分子.
  • 分类器网络成功引导了具有目标性质的分子的生成.

结论:

  • 在药物发现中,DLTM为分子优化提供了一个有前途的方法.
  • 该模型通过不要求匹配的分子对来克服数据限制.
  • 通过DLTM,可以生成具有可控制特性的高性质分子.