Filters
cris logo
-
New search Filters
Select from list
Displayed from Show more
You have reached the maximum number of displayed search results.
All results displayed
No results are available for the search performed
Displayed from
You have reached the maximum number of displayed search results.
All results displayed
Loading results
Obtaining statistical data

Projects / Programmes source: ARIS

Computational tools development for modeling of pharmaceutically interesting molecules

Edit
Research activity

Code Science Field Subfield
1.07.00  Natural sciences and mathematics  Computer intensive methods and applications   

Code Science Field
P000  Natural sciences and mathematics   

Code Science Field
1.01  Natural Sciences  Mathematics 
Keywords
Molecular Modeling, Computer Simulations, Algorithms, Molecular Dynamics, Symplectic Methods, Normal Mode Analysis, Parallel Computational Methods, Parallel Molecular Visualization, Protein-Protein Binding Sites, Biologically Active Compounds, Pharmaceutically Interesting Molecules
Evaluation (rules)
source: COBISS
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Researchers (13)
no. Code Name and surname Research area Role Period No. of publications
1.  25434  PhD Urban Bren  Natural sciences and mathematics  Researcher  2014 - 2017  339 
2.  33987  PhD Monika Cerinšek  Natural sciences and mathematics  Researcher  2015 - 2016  21 
3.  38770  Hrvoje Ćurić  Natural sciences and mathematics  Researcher  2016  0 
4.  37715  PhD Slobodan Filipovski  Natural sciences and mathematics  Junior researcher  2015 - 2016  33 
5.  15284  PhD Stanislav Gobec  Natural sciences and mathematics  Researcher  2014 - 2017  811 
6.  32036  PhD Martina Hrast Rambaher  Natural sciences and mathematics  Researcher  2017  112 
7.  06734  PhD Dušanka Janežič  Natural sciences and mathematics  Head  2014 - 2017  495 
8.  32587  PhD Marko Jukič  Natural sciences and mathematics  Researcher  2014 - 2017  157 
9.  25435  PhD Janez Konc  Natural sciences and mathematics  Researcher  2015 - 2017  228 
10.  24997  PhD Klavdija Kutnar  Natural sciences and mathematics  Researcher  2014 - 2017  248 
11.  30211  PhD Martin Milanič  Natural sciences and mathematics  Researcher  2014 - 2017  302 
12.  30816  PhD Izidor Sosič  Natural sciences and mathematics  Researcher  2014 - 2015  237 
13.  29820  PhD Dragan Stevanović  Natural sciences and mathematics  Researcher  2014 - 2016  134 
Organisations (2)
no. Code Research organisation City Registration number No. of publications
1.  0787  University of Ljubljana, Faculty of Pharmacy  Ljubljana  1626973  16,873 
2.  2790  University of Primorska, Faculty of mathematics, Natural Sciences and Information Technologies  Koper  1810014009  16,821 
Abstract
Computer intensive methods and applications is extremely propulsive area of scientific research in which the use of supercomputers and computer clusters is used to solve the most demanding computational problems in theoretical and applied research in natural and technical sciences. We deal with solving of various types of problems, such as, structure and dynamics of molecules, bulk matter research, chemical and biochemical reactions, and the development of new drugs. Development of new computational methods is closely related to the development of new algorithms and the development of modern computers. This project stands at the cutting edge of today's research trends in the field of molecular modeling. It concentrates on some of the most relevant research areas within development and application of computer simulation techniques and approaches. The current state of the art and important historical contributions are briefly sketched, and our main research goals, based on the past results and contributions of the project participants, are stated. These goals include development of new methods and new improvements for molecular modeling and the simulation of complex macromolecular systems that increase the accuracy and efficiency of present-day computation approaches. We will use and develop molecular modeling methods, especially the simulation of molecular dynamics and chemical graph theory, a branch of mathematical chemistry concerned with discrete structures in chemistry. We primarily aim to improve algorithms for integration of classical and quantum equations of motion by further developing symplectic algorithms based on analytical treatment of high frequency motions. Special emphasis will be given to development of new algorithms for protein binding sites prediction as well as to development of web tools for modeling of pharmaceutically interesting molecules. The proposed methodological improvements should significantly extend the scope of presently used algorithms in terms of length- and time-scales, and thus contribute to the general applicability of computer simulation algorithms. The simulation results of selected examples will facilitate the understanding of some fundamental problems in molecular biology, especially in the discovery of new biologically active compounds for the development of new drugs . In spite of large potentials for concrete use of our results in certain branches of technology and industry, the main focus of our research remains development of general, new mathematical methods and algorithms in the field of molecular modeling, and as such, represents a contribution to overall scientific knowledge. The project involves a number of researchers with excellent publishing records, currently active in Slovenia, guaranteeing research at the highest possible level. Nevertheless, a collaboration with two research institutions from USA and one from Malaysia, where some of the most renowned world experts in the field of computer simulations of biological macromolecules are based, is planed too. This will further enhance our research.
Significance for science
The development of algorithms for binding sites detection on protein structures could provide new insights into mode of action of these molecular machines and is fundamental to our understanding of the processes that govern binding of small ligands and biomolecules such as proteins or nucleic acids. Newly developed methods that allow the prediction of protein binding sites, are particularly promising because they explore the interactions between proteins due to the rapidly expanding progress of structural genomics. This work is also important for the development of modern methods of systems biology, through which it will be possible to explain cooperation between the hitherto seemingly unrelated proteins. The result of the proposed project is a new tool for pharmaceutical modeling, freely available to researchers worldwide, available from our web server ProBiS (Protein Binding Sites), distinguished for its comprehensible graphical interface. The developed tool enable researchers to predict binding of molecules to proteins, and to evaluate their binding affinity using molecular dynamics. The research carried out following this proposal is of great importance to the development of modern simulation techniques, which hold the promise to greatly increase our ability to simulate large macromolecular systems with a reasonable amount of computational effort. It is expected that the product of this research effort will be added to the CHARMM (Chemistry at HARvard for Macromolecular Mechanics) program and distributed for use by others throughout the world.
Significance for the country
The purpose of the project is to develop methods for detection and characterization of protein binding sites using our algorithm for local structural comparison of protein structures, and to apply these methods to pharmaceutically interesting biological macromolecules. An important component of the project is in making the developed methods graphically appealing and user-friendly as they are incorporated into ProBiS web-server and thus open to public. Our goal is to develop methods that will be of interest both to science as well as to the pharmaceutical industry. In collaboration with Lek, a Sandoz Company, Drug Discovery we apply computer simulations for development of new biological drugs. An important part of the project is the fact that we thus are enabled to cooperate with leading laboratories in the world in this field. The results of this research are published in most prestigious international scientific journals and are presented at renowned international conferences. Finally, with our experience and innovative bioinformatics solutions, we would like to set up a spin-off company and make our products available to the world market. For the studies that were performed as part of our project, we also develop and use methods for protein binding sites detection. We have already developed the computer system ProBiS (Protein Binding Sites), in which we have joined all our developed methods, and made them publicly available in the form of a web-application. Our methods can compare and sometimes outperform other state-of-the-art methods and are freely available. With our scientific quality and international activity (editor of an international scientific journal, participating and lecturing at international conferences, universities, and institutions) we increase our country's international recognition as well as sustain and enhance its national identity.
Most important scientific results Annual report 2014, 2015, final report
Most important socioeconomically and culturally relevant results Annual report 2014, 2015, final report
Confirmation required
Views history
Favourite