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相关概念视频

Leaky Scanning02:28

Leaky Scanning

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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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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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Ribosome Profiling02:24

Ribosome Profiling

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Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
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Translation in Prokaryotes01:29

Translation in Prokaryotes

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Prokaryote translation is a complex, highly coordinated process that converts genetic information from mRNA into functional proteins. It involves three stages: initiation, elongation, and termination, each facilitated by specific molecular components.Initiation of TranslationThe process begins with the assembly of the ribosomal subunits and initiation factors on the mRNA. In bacteria, the 30S ribosomal subunit recognizes the Shine-Dalgarno sequence in the mRNA, a conserved region upstream of...
181
Translation01:31

Translation

15.6K
Translation is the process of synthesizing proteins from the genetic information carried by messenger RNA (mRNA). Following transcription, it constitutes the final step in the expression of genes. This process is carried out by ribosomes, complexes of protein and specialized RNA molecules. Ribosomes, transfer RNA (tRNA), and other proteins produce a chain of amino acids—the polypeptide—as the end product of translation.
Translation Produces the Building Blocks of Life
Proteins are...
15.6K
Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

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Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to...
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Updated: Sep 14, 2025

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
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Protein2Text:重新采样机制将蛋白质序列转化为人类可解读的文本.

Ala Jararweh1,2, Oladimeji Macaulay2, David Arredondo2

  • 1Department of Computer Science, The University of New Mexico.

Proceedings of the conference. Association for Computational Linguistics. North American Chapter. Meeting
|July 23, 2025
PubMed
概括
此摘要是机器生成的。

Protein2Text是一种新的多式大型语言模型,它解释蛋白质序列以生成信息文本,加速未研究的蛋白质的表征,并帮助生物研究.

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De novo Identification of Actively Translated Open Reading Frames with Ribosome Profiling Data
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科学领域:

  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学
  • 生命科学中的人工智能

背景情况:

  • 蛋白质是必不可少的生物分子,但由于实验的局限性,大多数已知的序列都没有表征.
  • 加快蛋白质表征对于促进生物学理解和药物发现至关重要.

研究的目的:

  • 介绍Protein2Text,一个多式大型语言模型,旨在解释蛋白质序列.
  • 创建信息性文本,解决有关蛋白质功能和属性的开放式问题,协助实验人员.

主要方法:

  • 利用一个适应的LLaVA框架与重新采样机制集成,将蛋白质序列映射到一个语言兼容的空间中.
  • 在从PubMed文章中获得的新编辑的数据集上训练模型.
  • 开发并使用四个全面的基准来进行严格的评估,包括域内和跨域评估.

主要成果:

  • 与现有模型相比,Protein2Text在开放式问答任务中表现优异.
  • 该模型有效地解释蛋白质序列并生成相关的文本信息.
  • 突出了基于模板的方法的当前评估指标的局限性,主张公正的评估.

结论:

  • Protein2Text提供了一种强大的新工具,用于加速生物研究中的蛋白质表征和假设生成.
  • 该模型处理复杂查询和生成信息文本的能力代表了生物信息学的重大进步.
  • 模型重量和数据集的公开可用性促进了蛋白质信息学的进一步研究和开发.