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Sign Test for Matched Pairs01:17

Sign Test for Matched Pairs

434
The sign test for matched pairs offers a robust method for comparing two paired samples, often for the effects of an intervention in one of them. This method is very useful in situations where the underlying distribution of the data is unknown. The test compares two related samples—often pre- and post-treatment measurements on the same subjects—to determine if there are significant differences in their median values.
To conduct the sign test, we first calculate the differences in...
434
Purposive Learning01:22

Purposive Learning

533
E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
533
Observational Learning01:12

Observational Learning

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Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
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Cognitive Learning01:21

Cognitive Learning

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Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
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Associative Learning01:27

Associative Learning

1.5K
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
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Introduction to Learning01:18

Introduction to Learning

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Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
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Updated: Feb 18, 2026

Decomposing the Variance in Reading Comprehension to Reveal the Unique and Common Effects of Language and Decoding
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Published on: October 11, 2018

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対照的な学習を通じて DEL ポケットパターンを解読する.

Wenyi Zhang1,2, Yuxing Wang1,2, Rui Zhan1,2

  • 1State Key Laboratory of Gene Expression, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.

Nature communications
|February 16, 2026
PubMed
まとめ

新しいモデルであるErePOCは,タンパク質結合ポケットを分析することによって,DNAエンコードライブラリ (DEL) の薬剤発見を強化しています. それは,スクリーニングに適した標的を特定し,DELベースの治療法の成功率を改善します.

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Decomposing the Variance in Reading Comprehension to Reveal the Unique and Common Effects of Language and Decoding
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科学分野:

  • 計算化学はコンピュータ化学である.
  • ドラッグ・ディスカバリー・ドラッグ・ディスカバリー
  • バイオインフォマティックス

背景:

  • DNAでコードされたライブラリ (DEL) は,薬剤発見のための広大な化学空間を,高通量でスクリーニングすることを可能にします.
  • DEL-derived compoundsを臨床試験に進めることに限られた成功は,ターゲット選択の改善の必要性を強調しています.
  • 現在の方法は,タンパク質結合ポケットの柔軟性と機能的類似性を評価するのに苦労しており,DELスクリーニングの最適化を妨げています.

研究 の 目的:

  • 総合的なタンパク質結合ポケット表現のための新しいモデル,ErePOCを開発する.
  • DNAエンコードライブラリスクリーニングに適したタンパク質標的の特定を改善する.
  • DELベースの薬剤発見イニシアチブの成功率を高めること.

主な方法:

  • ErePOCモデルは,構造的および機能的なポケット機能をキャプチャするために,ESM-2の埋め込みで対照的な学習を使用しています.
  • 低次元の物理化学的性質を高次元のErePOC埋め込みと統合して,包括的なターゲット分析を行う.
  • ポケット表現におけるモデルの精度を評価するために,下流の分類タスクが採用されました.

主要な成果:

  • ErePOCは,下流の分類タスクで98%の精度を達成し,優れたポケット表現能力を実証しました.
  • このモデルは,DELスクリーニングに適したヒトのタンパク質を成功裏に特定し,18の機能的カテゴリーにおける濃縮を明らかにしました.
  • 分析により,DELのターゲットに共通する特徴が明らかになり,DELのターゲット領域の洞察が得られました.

結論:

  • ErePOCは,改善された標的選択を通じて,DELベースの薬剤発見を強化するための堅実な枠組みを提供します.
  • ポケットの柔軟性と機能的類似性を分析するモデルの能力は,現在のDELスクリーニングアプローチの限界に対処します.
  • この作業により,薬物標的のより効果的な特定と,DELキャンペーンのポケット類似性の分析が容易になります.