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in-cites, November 2004
 http://www.in-cites.com/papers/JorgeNavaza.html

Papers

             
An interview with:
Dr. Jorge Navaza
           

In the interview below, Jorge Navaza talks about his highly cited paper, "AMoRe: an automated package for molecular replacement," (Acta Crystallogr. A 50: 157-63, Part 2, 1 March 1994). According to the ISI Essential Science Indicators Web product, this paper has been cited 3,232 times to date, placing it among the top five most-cited papers in the past decade in the field of Chemistry. Dr. Navaza’s record in this field includes 12 papers cited a total of 3,451 times to date. Dr. Navaza hails from the Laboratoire de Virologie Moléculaire & Structurale at the Centre National de la Recherche Scientifique in France.

  Why do you think your paper is highly cited?


In the field of macromolecular structure determination, AMoRe was the first programme aiming at solving a crystal structure in an automated way.”

The paper describes a technique—and the associated computer programme AMoRe—to solve a crystal structure when there is a good model for a reasonable fraction of the structure in the crystal. As the database of solved structures started a dramatic growth at the beginning of the nineties, the method became very useful for a large fraction of new structures. It is also useful for studies of complexes formed from previously determined proteins. The programme proved to be extremely efficient.

  What are the circumstances which led you to your work?

The technique, known as Molecular Replacement, was a rather ancient one, but the available implementations were based on fairly crude approximations and/or required a substantial user intervention. This led me to a reformulation of the technique, based in a new representation of the molecular models and new robust algorithms which allowed automation of the method.

  Would you describe the significance of this work for your field?

In the field of macromolecular structure determination, AMoRe was the first programme aiming at solving a crystal structure in an automated way. Most of the algorithms used there are still the best available ones.

  Where has this research gone since the publication of your paper? Where do you see it going 10 years from now?

The success of the technique relies on the quality of the model and the performance of the software. The software has not evolved significantly, though new formulations have appeared since the beginning of this century. On the contrary, boosted by structural genomics projects, the search models are now improved significantly so as to make a difficult problem a solvable one.

  What lessons would you draw from your work to share with the next generation of researchers?

To reconsider still-in-use but old procedures in light of new developments and new hardware capabilities.End

Jorge Navaza
Laboratoire de Virologie Moléculaire & Structurale
Centre National de la Recherche Scientifique
Gif-sur-Yvette, France

in-cites, November 2004
 http://www.in-cites.com/papers/JorgeNavaza.html


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