Staff

Name Moreno Ernesto
Position Visiting Scientist

 

Ernesto Moreno, Ph.D..

Visiting Scientist


Department of Compupational Chemistry
Institute of Organic Chemistry and Biochemistry ASCR, v.v.i.
Flemingovo nám. 2, CZ-166 10 Prague 6, Czech Republic

Phone: (+420) 220 410 319
Fax: (+420) 224 410 320

 

 
Education
1999-2004 Ph.D. degree in Medical Biochemistry. Institute of Medical Biochemistry, University of Gothenburg, Sweden.
1983-1989 B.S. and M.Sc. in Physics and Mathematics. Faculty of Physics, Moscow State University “M.V. Lomonosov”, Moscow, Russia.
 
Experience
since 2001 Member of the National PhD Thesis Examining Committee for Biological Sciences, Cuba.
since 1999 Group Leader at the Center of Molecular Immunology (CIM), Havana, Cuba.
2007 Invited teacher at Oslo University, Norway. Course on Macromolecular Structure.
2005 Two months working visit at the “Equipe de dynamique des assemblages membranaires”, University Henri Poincare, Nancy, France.
2001 One month working visit to the “Laboratory of Experimental and Computational Biology”, National Cancer Institute, NIH, Bethesda, USA.
1994-1999 PhD student at the Institute of Medical Biochemistry, University of Gothenburg, Sweden (three years in total, alternating with work at CIM in Havana).
1992-1999 Junior Researcher at the Center of Molecular Immunology, Havana, Cuba.
1989-1992 Teaching of Physics and Mathematics at the Institute of Nuclear Sciences and Technology, Havana, Cuba.
 
Awards
2003, 2004, 2006, 2009. Annual Award of the Cuban Academy of Sciences
2002 Annual Prize of the World Intellectual Property Organization (WIPO) for the patent on the antitumor antibody h-R3.
 
Research interest
  • Prediction of protein-ligand interaction. Development of new docking algorithms.
  • Protein engineering, currently focused on antibody binding sites and cancer-related growth factors.
  • Studies of the mechanisms of action of antitumor antibodies: Structure-function relationships using X-ray crystallography, molecular and celular biology, and molecular modeling.