Toward Greener Carbon Capture Technologies: A Pharmacophore-Based Approach to Predict CO₂ Binding Sites in Proteins

PDF Version Also Available for Download.

Description

This article describes the extraction of three-dimensional functional group patterns responsible for binding CO₂ from the few protein-CO₂ complexes that have been characterized by X-ray crystallography.

Physical Description

7 p.

Creation Information

Drummond, Michael L.; Wilson, Angela K. & Cundari, Thomas R. December 4, 2009.

Context

This article is part of the collection entitled: UNT Scholarly Works and was provided by UNT College of Arts and Sciences to Digital Library, a digital repository hosted by the UNT Libraries. More information about this article can be viewed below.

Who

People and organizations associated with either the creation of this article or its content.

Authors

Publisher

Provided By

UNT College of Arts and Sciences

The UNT College of Arts and Sciences educates students in traditional liberal arts, performing arts, sciences, professional, and technical academic programs. In addition to its departments, the college includes academic centers, institutes, programs, and offices providing diverse courses of study.

Contact Us

What

Descriptive information to help identify this article. Follow the links below to find similar items on the Digital Library.

Degree Information

Description

This article describes the extraction of three-dimensional functional group patterns responsible for binding CO₂ from the few protein-CO₂ complexes that have been characterized by X-ray crystallography.

Physical Description

7 p.

Notes

Abstract: Successful sequestration of emitted carbon dioxide is a crucial ingredient in addressing rising atmospheric CO2 concentrations, but current CO2 capture technologies are often corrosive and can generate hazardous waste. Inspiration for more environmentally friendly sequestration is sought in Nature by searching for common patterns by which proteins bind CO2. Specifically, three-dimensional functional group patterns responsible for binding CO2 are extracted from the few protein−CO2 complexes that have been characterized by X-ray crystallography. These motifs are used to generate pharmacophore-type queries, which are utilized in database mining efforts to locate similar binding motifs in a test set of enzymes that do not have an experimentally determined CO2 binding site. These predicted carbon dioxide binding sites are often located within the active site cleft. Moreover, some of these identified CO2-binding functional group patterns are found across various species and enzyme classes. Potential applications of the pharmacophore-based methodology are also discussed.

Source

  • Energy & Fuels, 2010. Washington, DC.: American Chemical Society

Language

Item Type

Identifier

Unique identifying numbers for this article in the Digital Library or other systems.

Publication Information

  • Publication Title: Energy & Fuels
  • Volume: 24
  • Pages: 1464-1470
  • Peer Reviewed: Yes

Collections

This article is part of the following collection of related materials.

UNT Scholarly Works

Materials from the UNT community's research, creative, and scholarly activities and UNT's Open Access Repository. Access to some items in this collection may be restricted.

What responsibilities do I have when using this article?

When

Dates and time periods associated with this article.

Submitted Date

  • October 5, 2009

Accepted Date

  • December 4, 2009

Creation Date

  • December 4, 2009

Added to The UNT Digital Library

  • Aug. 29, 2017, 9:38 a.m.

Usage Statistics

When was this article last used?

Yesterday: 0
Past 30 days: 0
Total Uses: 9

Interact With This Article

Here are some suggestions for what to do next.

Start Reading

PDF Version Also Available for Download.

International Image Interoperability Framework

IIF Logo

We support the IIIF Presentation API

Drummond, Michael L.; Wilson, Angela K. & Cundari, Thomas R. Toward Greener Carbon Capture Technologies: A Pharmacophore-Based Approach to Predict CO₂ Binding Sites in Proteins, article, December 4, 2009; Washington, DC. (digital.library.unt.edu/ark:/67531/metadc991043/: accessed December 16, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Arts and Sciences.