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Structure-Activity Relationships and Drug Design01:28

Structure-Activity Relationships and Drug Design

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Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
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Drug Discovery: Overview01:26

Drug Discovery: Overview

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Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
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Ligand Binding Sites02:40

Ligand Binding Sites

12.8K
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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Conserved Binding Sites01:49

Conserved Binding Sites

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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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Protein Organization01:24

Protein Organization

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Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence....
6.5K
Protein-protein Interfaces02:04

Protein-protein Interfaces

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Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
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Updated: Jul 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

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予測モデルを用いた構造ベースの薬剤発見を可能にする

Edward B Miller1, Howook Hwang1, Mee Shelley2

  • 1Schrödinger New York, 1540 Broadway, 24th Floor, New York, NY 10036, USA.

Cell
|February 2, 2024
PubMed
まとめ
この要約は機械生成です。

高品質の予測されたタンパク質構造は,自由エネルギー波動 (FEP) の計算と組み合わせると,信頼性の高い薬剤設計を導くことができます. このアプローチは,薬剤発見のためのhERG阻害の構造ベースのモデリングを使用して実証されました.

さらに関連する動画

Modeling an Enzyme Active Site using Molecular Visualization Freeware
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Modeling an Enzyme Active Site using Molecular Visualization Freeware

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Nano-Differential Scanning Fluorimetry for Screening in Fragment-based Lead Discovery
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Nano-Differential Scanning Fluorimetry for Screening in Fragment-based Lead Discovery

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関連する実験動画

Last Updated: Jul 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

68.7K
Modeling an Enzyme Active Site using Molecular Visualization Freeware
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Modeling an Enzyme Active Site using Molecular Visualization Freeware

Published on: December 25, 2021

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Nano-Differential Scanning Fluorimetry for Screening in Fragment-based Lead Discovery
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Nano-Differential Scanning Fluorimetry for Screening in Fragment-based Lead Discovery

Published on: May 16, 2021

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科学分野:

  • コンピュータ化学
  • 構造生物学
  • 薬物の発見

背景:

  • 精密なタンパク質構造は 構造に基づく薬剤設計に不可欠です
  • 既存の方法は,予測された構造を確実に利用する上で課題に直面しています.

研究 の 目的:

  • 薬剤設計における予測されたタンパク質構造による自由エネルギー波動 (FEP) の有用性を実証する.
  • コンピューターモデリングを使用して薬剤設計の目標を達成するFEPの能力を検証する.

主な方法:

  • 分子モデリングの入力として予測されたタンパク質構造を使用した.
  • 結合親和性を評価するために適用された自由エネルギー干渉 (FEP) 計算.
  • hERGチャネル阻害の構造ベースのモデリングに焦点を当てた.

主要な成果:

  • 高品質の予測された構造は,薬剤設計でFEPで自信を持って使用できます.
  • FEPはhERG抑制の構造ベースのモデリングに成功しました.
  • 薬剤開発プログラムにおけるFEPの価値を示した.

結論:

  • 自由エネルギーによる干渉 (FEP) は,薬剤発見における予測された構造の価値を高めます.
  • FEPと組み合わせた構造ベースのモデリングは,薬物設計の目標を達成するための信頼性の高いアプローチを提供します.
  • この方法論は,薬学研究における計算手法の使用の拡大をサポートしています.