Match!

Life in the Fast Lane for Protein Crystallization and X-Ray Crystallography

Published on Jul 1, 2005in Progress in Biophysics & Molecular Biology2.70
· DOI :10.1016/j.pbiomolbio.2004.07.011
Marc L. Pusey26
Estimated H-index: 26
(MSFC: Marshall Space Flight Center),
Zhi-Jie Liu34
Estimated H-index: 34
(UGA: University of Georgia)
+ 5 AuthorsJoseph D. Ng13
Estimated H-index: 13
(UAH: University of Alabama in Huntsville)
Cite
Abstract
The common goal for structural genomic centers and consortiums is to decipher as quickly as possible the three-dimensional structures for a multitude of recombinant proteins derived from known genomic sequences. Since X-ray crystallography is the foremost method to acquire atomic resolution for macromolecules, the limiting step is obtaining protein crystals that can be useful of structure determination. High-throughput methods have been developed in recent years to clone, express, purify, crystallize and determine the three-dimensional structure of a protein gene product rapidly using automated devices, commercialized kits and consolidated protocols. However, the average number of protein structures obtained for most structural genomic groups has been very low compared to the total number of proteins purified. As more entire genomic sequences are obtained for different organisms from the three kingdoms of life, only the proteins that can be crystallized and whose structures can be obtained easily are studied. Consequently, an astonishing number of genomic proteins remain unexamined. In the era of high-throughput processes, traditional methods in molecular biology, protein chemistry and crystallization are eclipsed by automation and pipeline practices. The necessity for high-rate production of protein crystals and structures has prevented the usage of more intellectual strategies and creative approaches in experimental executions. Fundamental principles and personal experiences in protein chemistry and crystallization are minimally exploited only to obtain "low-hanging fruit" protein structures. We review the practical aspects of today's high-throughput manipulations and discuss the challenges in fast pace protein crystallization and tools for crystallography. Structural genomic pipelines can be improved with information gained from low-throughput tactics that may help us reach the higher-bearing fruits. Examples of recent developments in this area are reported from the efforts of the Southeast Collaboratory for Structural Genomics (SECSG).
  • References (75)
  • Citations (79)
Cite
References75
Newest
#1Martin Hammarström (KTH: Royal Institute of Technology)H-Index: 19
#2Niklas Hellgren (KTH: Royal Institute of Technology)H-Index: 2
Last.Torleif Härd (KTH: Royal Institute of Technology)H-Index: 38
view all 5 authors...
#1Laurent C. Storoni (University of Cambridge)H-Index: 9
#2Airlie J. McCoy (University of Cambridge)H-Index: 34
Last.Randy J. Read (University of Cambridge)H-Index: 65
view all 3 authors...
#1Christian Cumbaa (OICR: Ontario Institute for Cancer Research)H-Index: 7
#2Angela Lauricella (Hauptman-Woodward Medical Research Institute)H-Index: 13
Last.Igor Jurisica (OICR: Ontario Institute for Cancer Research)H-Index: 57
view all 8 authors...
#1Joseph D. Ng (UAH: University of Alabama in Huntsville)H-Index: 13
#2Jose A. Gavira (UAH: University of Alabama in Huntsville)H-Index: 23
Last.Juan Manuel García-Ruiz (CSIC: Spanish National Research Council)H-Index: 32
view all 3 authors...
#1Lawrence J. DeLucas (UAB: University of Alabama at Birmingham)H-Index: 24
#2Terry L. Bray (UAB: University of Alabama at Birmingham)H-Index: 9
Last.Arnon ChaitH-Index: 2
view all 10 authors...
Cited By79
Newest
#1Madhav Sigdel (UAH: University of Alabama in Huntsville)H-Index: 5
#2İmren Dinç (Troy University)H-Index: 5
Last.Ramazan Savas Aygün (UAH: University of Alabama in Huntsville)H-Index: 9
view all 6 authors...
#1Marc L. PuseyH-Index: 7
#2Ramazan Savas Aygün (UAH: University of Alabama in Huntsville)H-Index: 9
#1Marc L. PuseyH-Index: 7
#2Ramazan Savas Aygün (UAH: University of Alabama in Huntsville)H-Index: 9
#1Mark Stauber (Yeshiva University)H-Index: 2
#2Jean Jakoncic (BNL: Brookhaven National Laboratory)H-Index: 18
Last.Neer Asherie (Yeshiva University)H-Index: 17
view all 9 authors...
Jan 1, 2015 in CVPR (Computer Vision and Pattern Recognition)
#1Madhav Sigdel (UAH: University of Alabama in Huntsville)H-Index: 5
#2Madhu S. Sigdel (UAH: University of Alabama in Huntsville)H-Index: 4
Last.Ramazan Savas Aygün (UAH: University of Alabama in Huntsville)H-Index: 9
view all 6 authors...
View next paperThe Protein Data Bank