A medium‐throughput crystallization approach
Author(s) -
Sulzenbacher Gerlind,
Gruez Arnaud,
RoigZamboni Véronique,
Spinelli Silvia,
Valencia Christel,
Pagot Fabienne,
Vincentelli Renaud,
Big Christophe,
Salomoni Aurelia,
Grisel Sacha,
Maurin Damien,
Huyghe Céline,
Johansson Kent,
Grassick Alice,
Roussel Alain,
Bourne Yves,
Perrier Sophie,
Miallau Linda,
Cantau Phillippe,
Blanc Eric,
Genevois Michel,
Grossi Alain,
Zenatti André,
Campanacci Valérie,
Cambillau Christian
Publication year - 2002
Publication title -
acta crystallographica section d
Language(s) - English
Resource type - Journals
ISSN - 1399-0047
DOI - 10.1107/s0907444902013938
Subject(s) - crystallization , structural genomics , cloning (programming) , protein crystallization , usable , computer science , throughput , computational biology , materials science , protein structure , chemistry , engineering , biology , chemical engineering , biochemistry , programming language , operating system , world wide web , wireless
The first results of a medium‐scale structural genomics program clearly demonstrate the value of using a medium‐throughput crystallization approach based on a two‐step procedure: a large screening step employing robotics, followed by manual or automated optimization of the crystallization conditions. The structural genomics program was based on cloning in the Gateway™ vectors pDEST17, introducing a long 21‐residue tail at the N‐terminus. So far, this tail has not appeared to hamper crystallization. In ten months, 25 proteins were subjected to crystallization; 13 yielded crystals, of which ten led to usable data sets and five to structures. Furthermore, the results using a robot dispensing 50–200 nl drops indicate that smaller protein samples can be used for crystallization. These still partial results might indicate present and future directions for those who have to make crucial choices concerning their crystallization platform in structural genomics programs.
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