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Ligand Binding Sites

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.
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Drug Discovery: Overview

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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Drug Distribution: Tissue Binding

Upon entering the systemic circulation, drugs can distribute into the interstitial and intracellular fluid of various tissue cells. This distribution is facilitated by the binding of drugs to different cellular components within tissues, which may lead to drug accumulation in specific areas. Drugs bound to tissue components serve as reservoirs that release free drugs back into the system, prolonging the drug's overall action. However, this accumulation can also result in local toxicity.
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Drug Distribution: Plasma Protein Binding

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Tissue-Drug Binding: Localization of Drugs and its Significance01:24

Tissue-Drug Binding: Localization of Drugs and its Significance

Body tissues, comprising approximately 40% of the body weight, are crucial in drug distribution and localization. These tissues can serve as drug storage sites, competing with plasma binding sites for drug molecules.
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Protein-Drug Binding: Determination Methods01:22

Protein-Drug Binding: Determination Methods

Determining protein-drug binding can be achieved through indirect and direct methods, each providing valuable insights into the interaction between proteins and drugs.
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Acoplamiento de Grandes Bibliotecas para Polifarmacología

Yujin Wu1, Seth Vigneron1, Joao Braz2

  • 1Department of Pharmaceutical Chemistry, University of California, San Francisco, 1700 fourth St., Byers Hall Suite 508D, San Francisco, California 94158, United States.

Journal of medicinal chemistry
|February 19, 2026
PubMed
Resumen
Este resumen es generado por máquina.

El acoplamiento de grandes bibliotecas identificó moléculas de doble actividad para enfermedades complejas. Si bien se encontraron compuestos potentes para el dolor, la depresión y la ansiedad, persisten los desafíos en la optimización de su eficacia.

Palabras clave:
polifarmacologíaacoplamiento moleculardescubrimiento de fármacosmoléculas de doble actividadquímica computacionalterapias de múltiples objetivos

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Área de la Ciencia:

  • Computational chemistry
  • Pharmacology
  • Drug discovery

Sus antecedentes:

  • Polypharmacology, the simultaneous targeting of multiple biological targets, offers a promising strategy for treating complex diseases.
  • Identifying molecules with joint activity against specific target pairs is crucial for developing effective multi-target therapies.

Objetivo del estudio:

  • To explore the utility of large library docking for discovering dual-activity molecules against selected target pairs.
  • To identify potential analgesic compounds through prospective docking against alpha2A/SERT, MOR/SERT, and alpha2A/MOR targets.

Principales métodos:

  • Retrospective analysis of library growth and dual-activity molecule identification.
  • Prospective virtual screening of a 900-million molecule library using docking against three target pairs.
  • Confirmation of docking-predicted poses using cryo-electron microscopy (cryo-EM) structures.
  • In vivo evaluation of compound efficacy in mouse behavioral assays.

Principales resultados:

  • Docking campaigns identified dual binders with low μM to high nM activities and high hit rates for alpha2A/SERT and SERT/MOR targets.
  • Tetrahydropyridine compounds from the alpha2A/SERT campaign also exhibited activity against 5-HT2A.
  • Cryo-EM confirmed docking-predicted poses, but subsequent optimization faced challenges in improving potency.
  • The lead alpha2A/SERT compound (z7149) demonstrated efficacy in pain assays without conditioned place preference, and exhibited antidepressant and anxiolytic-like behavior.

Conclusiones:

  • Large library docking is a viable strategy for discovering polypharmacological agents, yielding promising hits for complex conditions.
  • Despite structural validation, optimizing the potency of identified dual-activity molecules presents significant challenges.
  • The study highlights both the potential and limitations of computational docking in advancing polypharmacology for therapeutic benefit.