» Educational Qualifications

» Academic Titles

» Professional Experience

» Publications

SCI-SSCI or SCI Expanded Articles

  • Ormeci L, Gursoy A, Tunca G, Erman B. "Computational Basis of Knowledge- Based Local and Long Range Conformational probabilities in Proteins"; Proteins: Structure, Function, and Bioinformatics, Volume 66, Issue 1, Pages 29– 40 (2006)

International Conference Proceedings

  • Modeling of HIV-1 Reverse Transcriptase Mutants: Effects of Mutation on Structure and Possible Relation to Function, Güzin Tunca, Xavier Daura, International Symposium on Health informatics and Bioinformatics (HIBIT), 18-20 May 2008, İstanbul, Türkiye (Poster)
  • Molecular Docking for Designing Pharmacological Chaperones for Acid beta-Glucosidase, Güzin Tunca, Xavier Daura, ProtIst’10: Novel Approaches in Protein Engineering, 23-25 Nisan 2010, İstanbul, Türkiye (Poster)

Awards

  • Sabancı University Merit Scholarship
  • Koç University Scholarship for Graduate Studies
  • PhD Scholarship, Ministry of Foreign Affairs, Spain

» Courses Given

GBM307 Programming For Bioengineering

  • This course focuses on computational thinking concepts computational solution of biology problems using Python programming language and its modules.

GBM325 Computer Applications in Bioengineering

  • This course is an introduction to biological modelling through computational analysis of biological systems. The aim is to teach about Next Generation Sequencing methods and its computational analysis, gain experience in using biological databases, protein and molecule visualization and modelling software.

GBM412 Bioinformatics

  • This course aims to teach about bioinformatics which is a multidisciplinary field at the cross section of molecular biology and computer science. The students become knowledgeable about the storage, retrieval, sharing and use of biological data, information and various tools, and gain familiarity with algorithms used in bioinformatics.

GBM440 Computer Aided Drug Design

  • This course focuses on computational methods for in-silico drug design. It also presents the physical concepts behind the protein-ligand association. Current challenges that still exist in protein-ligand docking techniques are discussed. As a result, the student will be able to develop new strategies for overcoming these difficulties. Most popular docking and pharmacophore modelling tools will be presented and their applications will be performed.