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About Myself

Pharmaceutical Chemistry and Molecular Modeling:

Computer simulations are an excellent method for bridging the gaps between experiment and theory and allow membrane proteins to 'come alive' - that is, we can simulate the motions of membrane proteins and use this to explore the relationship between (static) structure and dynamic function.Computational techniques play a valuable role in the drug design process. Computational Drug Design provides a solid description of those techniques and the role that they play in the drug design process. Successful drug design requires a multidisciplinary approach. Understanding the nature of a drug and its intended target requires knowledge of their chemistries, biophysical characteristics and, of increasing importance, their sub-cellular biological context. For this to happen, science and technology must be pushed passed their existing limits. To satisfy this need requires chemists to be highly confident of the valency and covalency between the drug and target, biophysicists to appreciate the dynamic nature of any bimolecular target and potential partners fully, mathematicians to help model molecular systems efficiently and computer scientists to optimise architectures so that complex calculations can be performed practical.

Computer-Aided Drug Design (CADD) :

I consider myself a molecular psychologist. A molecular psychologist is a person who investigates psychology of molecules, the systematic investigation of the molecular life, including molecular treatment and molecular cognition. Research in the Structural Bioinformatics and Computational Biochemistry Unit embraces all areas of computational studies of membrane proteins and related systems, ranging from molecular simulations of channels and transporters, to computational bionanoscience and membrane protein folding and stability. Advances in knowledge and technology have revolutionized the process of drug development, making it possible to design drugs for a given target or disease.I have integrated approach to drug discovery that combines molecular docking, coarse-grained molecular dynamics (MD) simulations, 3D quantitative structure-activity relationships (QSAR) studies and De novo drug design under a single umbrella.


Python Programming for Biologists:

I would so like to begin by writing a quote from Stephen Hawking:

"Whether you want to uncover the secrets of the universe, or you want to pursue a career in the 21st century, basic computer programming is an essential skill to learn."

Only a few years ago, programming was a prerogative of computer scientists. Notwithstanding this, programming is growingly becoming a essential tool of scientist in other majors such as biology or biophysic. I'm a biochemist with an interest in programming of new codes or scripts using Python programming language, and also I'm a Python developer. Python: A simple, high-level interpreted language invented by Guido van Rossum in 1991. Python combines ideas from ABC, C, Modula-3 and Icon. It bridges the gap between C and shell programming, making it suitable for rapid prototyping or as an extension language for C applications.

Position: Ph.D. in Computational Medicinal Chemistry.


Dr. Ramin Ekhteiari Salmas, Ph.D.
Istanbul Technical University, Faculty of Science,
Department of Chemistry, Physical Chemistry Division,
Ayazaga Campus, Maslak-34469
Istanbul, Turkey.
+90 (212) 285 7312
Computational Chemistry
رامین اختیاری سلماس