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相关概念视频

Language01:16

Language

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Language is a unique communication system that uses words and systematic rules to organize and transmit information. Unlike other forms of communication, which may involve postures, movements, odors, or vocalizations, language relies on symbols and grammar. This makes human communication distinct from that of other species, who also communicate but do not use language in the same way humans do.
Corballis and Suddendorf (2007) and Tomasello and Rakoczy (2003) highlight the role of language in...
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State Space Representation01:27

State Space Representation

610
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
610
Graphical Representation of Inequalities01:28

Graphical Representation of Inequalities

228
The graph of the equation where y equals x squared forms a curve known as a parabola. This curve acts as a boundary in the coordinate plane, dividing it into distinct regions based on the relative position of points.When the equality sign in the equation is replaced with an inequality—such as greater than, less than, greater than or equal to, or less than or equal to—the graphical representation changes from a single curve into a broader shaded area that signifies the set of all...
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Control Volume and System Representations01:16

Control Volume and System Representations

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Two key frameworks are employed to analyze mass, energy, and momentum transfer: the control volume approach and the system approach. These frameworks offer different perspectives, depending on whether the focus is on a specific region in space (control volume approach) or a defined mass of fluid (system approach).
The control volume approach considers a stationary region in space through which fluid flows. This region is bounded by a control surface.  For instance, in the case of water...
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Conserved Binding Sites01:49

Conserved Binding Sites

5.2K
Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...
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Components of Language01:24

Components of Language

830
Language, whether spoken, signed, or written, consists of specific components: lexicon and grammar. The lexicon is the vocabulary of a language, comprising its words. Grammar is the set of rules used to convey meaning through the lexicon. For example, English grammar adds “-ed” to most verbs to indicate past tense. Words are formed by combining phonemes, which are the basic sound units of a language. Different languages have different sets of phonemes (e.g., “ah” vs.
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相关实验视频

Updated: Feb 13, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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基于自然语言的表示和模拟RBP绑定的RBP绑定.

Shaimae Elhajjajy, Zhiping Weng

    bioRxiv : the preprint server for biology
    |February 12, 2026
    PubMed
    概括

    本研究引入了一种新的计算方法,通过分析RNA序列背景来理解RNA结合蛋白 (RBP) 相互作用. 该方法准确地识别了影响RBP结合的关键RNA区域,改善了转录组调节的洞察力.

    科学领域:

    • 计算生物学 计算生物学
    • 分子生物学分子生物学
    • 基因组学就是基因组学.

    背景情况:

    • RNA结合蛋白 (RBPs) 对于通过RNA调节基因表达至关重要.
    • 目前用于表征RBP结合模式的方法受到解释性和上下文不敏感性的限制.
    • 序列上下文在RBP结合特异性中的确切作用尚不清楚.

    研究的目的:

    • 开发一个新的计算框架来破译RBP绑定模式.
    • 调查RNA序列背景对RBP结合特异性的贡献.
    • 创建一种可解释的方法来识别参与RBP结合的关键RNA区域.

    主要方法:

    • 为RNA序列 (词法,语法,语义) 开发了一种基于自然语言的表示.
    • RNA序列被分解成含有k-mers的区域和侧边语境.
    • 用"代重新标记"的多个实例学习 (MIL) 框架来预测RBP约束.

    主要成果:

    • 该方法使用语言概念成功模拟RNA序列.
    • 确定了有助于RBP结合的关键RNA区域.
    • 该方法在预测RBP结合时表现出准确性和可解释性.

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    结论:

    • 这种新的方法为RBP绑定模式分析提供了一个全面和可解释的方法.
    • 了解RBP绑定背景对于转录组调节至关重要.
    • 这一框架推进了研究RNA-蛋白相互作用的计算方法.