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A framework for computational and experimental methods: identifying dimerization residues in CCR chemokine receptors. | LitMetric

AI Article Synopsis

  • Solving complex biological issues often requires extensive experimentation, which can be challenging for smaller labs to execute.
  • A multidisciplinary approach that combines theoretical knowledge with experimental methods is becoming popular, as it helps clarify biological problems efficiently.
  • The example of CCR5 receptor dimerization shows how using computational methods alongside experimental validation can identify crucial biological components that wouldn't be easily detected through traditional methods alone.

Article Abstract

Solving relevant biological problems requires answering complex questions. Addressing such questions traditionally implied the design of time-consuming experimental procedures which most of the time are not accessible to average-sized laboratories. The current trend is to move towards a multidisciplinary approach integrating both theoretical knowledge and experimental work. This combination creates a powerful tool for shedding light on biological problems. To illustrate this concept, we present here a descriptive example of where computational methods were shown to be a key aspect in detecting crucial players in an important biological problem: the dimerization of chemokine receptors. Using evolutionary based sequence analysis in combination with structural predictions two CCR5 residues were selected as important for dimerization and further validated experimentally. The experimental validation of computational procedures demonstrated here provides a wealth of valuable information not obtainable by any of the individual approaches alone.

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Source
http://dx.doi.org/10.1093/bioinformatics/bti1101DOI Listing

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