Skip to content

Walter de Azevedo, Jr.

  • PhD
  • Professor
  • Pontifical Catholic University of Rio Grande do Sul - PUCRS
  • 41h-indexImpact measure calculated using publication and citation counts. Updated daily.
  • 5684CitationsNumber of citations received by Walter's publications. Updated daily.


Prof. Azevedo is Frontiers Section Editor (Bioinformatics and Biophysics) for the Current Drug Targets, section editor (Bioinformatics in Drug Design and Discovery) for the Current Medicinal Chemistry, member of the editorial board of Current Bioinformatics, and editor of Docking Screens for Drug Discovery (Methods of Molecular Biology)(Springer Nature). He graduated in Physics (BSc in Physics) from the University of São Paulo (USP) in 1990. He completed a Master Degree in Applied Physics also from the USP (1992), working under the supervision of Prof. Yvonne P. Mascarenhas, the founder of crystallography in Brazil. His dissertation was about X-ray crystallography applied to organometallics compounds (De Azevedo Jr. et al., 1995). During his Ph.D., he worked under the supervision of Prof. Sung-Hou Kim (University of California, Berkeley), on a split Ph.D. program with a fellowship from Brazilian Research Council (CNPq)(1993-1996). His Ph.D. was about the crystallographic structure of CDK2 (De Azevedo Jr. et al., 1996). His current position is coordinator of the Structural Biochemistry Laboratory at Pontifical Catholic University of Rio Grande do Sul (PUCRS). His research interests are interdisciplinary with two major emphases: molecular simulations and protein-ligand interactions. He published over 160 scientific papers about protein structures and computer models to assess intermolecular interactions involving biomolecules and potential ligands (H-index: 36, RG Index > 41.0). These publications have over 4500 citations.


Current Medicinal Chemistry

Section Editor (Bioinformatics in Drug Design and Discovery)

2017 - Present

Current Bioinformatics

Member of the Editorial Board

2017 - Present

Recent publications

  • Advances in the Understanding of the Cannabinoid Receptor 1 – Focusing on the Inverse Agonists Interactions

    • Russo S
    • De Azevedo W
  • Supervised Machine Learning Methods Applied to Predict Ligand- Binding Affinity

    • Heck G
    • Pintro V
    • Pereira R
    • et al.

Professional experience


Pontifical Catholic University of Rio Grande do Sul - PUCRS

August 2005 - Present



University of São Paulo

October 1992 - April 1997(5 years)

Other profiles

Co-authors (263)

  • MdJahangir Alam
  • Nelson da Silveira