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Predicting Reaction Outcomes02:24

Predicting Reaction Outcomes

8.5K
Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
8.5K
Predicting Products: Substitution vs. Elimination02:52

Predicting Products: Substitution vs. Elimination

11.9K
When a nucleophile and an alkyl halide react, nucleophilic substitution and β-elimination reactions compete to generate products.
The following factors can influence the mechanisms competing against each other:
11.9K
Predicting Products: SN1 vs. SN202:27

Predicting Products: SN1 vs. SN2

13.6K
Nucleophilic substitution reactions of alkyl halides can proceed via an SN1 or an SN2 mechanism. While in SN2 reactions, the nucleophile attacks the substrate simultaneously as the leaving group departs, in SN1 reactions, the substrate first dissociates to give the carbocation intermediate. Various factors such as the structure of the substrate, the strength of the nucleophile, and the nature of the solvent promote one mechanism over the other.
With increased substitution on the alkyl halide,...
13.6K
Improving Translational Accuracy02:07

Improving Translational Accuracy

2.7K
2.7K
End Point Prediction: Gran Plot01:07

End Point Prediction: Gran Plot

410
A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting...
410
Conserved Binding Sites01:49

Conserved Binding Sites

4.3K
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...
4.3K

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Updated: Aug 4, 2025

A Protocol for Computer-Based Protein Structure and Function Prediction
16:41

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

68.8K

コントラスティブ・ラーニングによる酵素機能予測

Tianhao Yu1,2,3, Haiyang Cui1,2,3, Jianan Canal Li3,4

  • 1Department of Chemical and Biomolecular Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.

Science (New York, N.Y.)
|March 30, 2023
PubMed
まとめ
この要約は機械生成です。

私たちはCLEANを開発しました 精密な酵素機能アノテーションのための 機械学習ツールです CLEANは,特に研究不足または多機能酵素の酵素委託 (EC) 数の予測を改善します.

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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
06:50

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

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Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
10:21

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA

Published on: February 23, 2024

2.7K

関連する実験動画

Last Updated: Aug 4, 2025

A Protocol for Computer-Based Protein Structure and Function Prediction
16:41

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

68.8K
Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
06:50

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

1.9K
Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
10:21

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA

Published on: February 23, 2024

2.7K

科学分野:

  • 生物化学
  • バイオ情報学
  • コンピュータ生物学

背景:

  • 酵素機能の注釈は重要ですが,計算ツールには難しいものです.
  • 既存の方法は,未熟なタンパク質,未定義の機能,または複数の酵素活動と闘っています.

研究 の 目的:

  • 新しい機械学習アルゴリズムであるCLEAN (コントラスティヴ・ラーニング・エンザイム・アノテーション) を導入する.
  • 酵素委員会 (EC) 数値予測の精度,信頼性,および感度を向上させる.

主な方法:

  • 酵素アノテーションのコントラスティヴ・ラーニング・フレームワークを使用する.
  • アルゴリズムの性能を検証するために,体系的なin silicoおよびin vitro実験を行います.

主要な成果:

  • CLEANは,EC番号の割り当てにおいてBLASTpよりも優れたパフォーマンスを示しています.
  • 研究不足の酵素を成功裏に注記し,誤って標識された酵素を修正し,乱交酵素を特定します.

結論:

  • CLEANは精密な酵素機能予測のための強力なソリューションを提供します.
  • このツールは,特徴づけられていない酵素のよりよい理解を可能にすることで,ゲノミクス,合成生物学,およびバイオカタリシスを進歩させると期待されています.