Browsing Τμήμα Πληροφορικής / Department of Computer Science by Author "Nicolaou, Christos A."

Now showing items 1-9 of 9

    • Conference Object  

      Deriving quantitative structure-activity relationship models using genetic programming for drug discovery 

      Neophytou, K.; Nicolaou, Christos A.; Pattichis, Constantinos S.; Schizas, Christos N. (2008)
      Genetic Programming is a heuristic search algorithm inspired by evolutionary techniques that has been shown to produce satisfactory solutions to problems related to several scientific domains [1]. Presented here is a ...
    • Article  

      Knowledge-driven multi-objective de novo drug design 

      Nicolaou, Christos A.; Kannas, Christos C.; Pattichis, Constantinos S. (2009)
    • Article  

      LiSIs: An online scientific workflow system for virtual screeningAAA 

      Kannas, Christos C.; Kalvari, Ioanna; Lambrinidis, George; Neophytou, Christiana M.; Savva, Christiana G.; Kirmitzoglou, Ioannis K.; Antoniou, Zinonas C.; Achilleos, Kleo G.; Scherf, D.; Pitta, Chara A.; Nicolaou, Christos A.; Mikros, Emmanuel; Promponas, Vasilis J.; Gerhauser, C.; Mehta, R. G.; Constantinou, Andreas I.; Pattichis, Constantinos S. (2015)
      Modern methods of drug discovery and development in recent years make a wide use of computational algorithms. These methods utilise Virtual Screening (VS), which is the computational counterpart of experimental screening. ...
    • Article  

      Molecular optimization using computational multi-objective methods 

      Nicolaou, Christos A.; Brown, N.; Pattichis, Constantinos S. (2007)
      Improving the profile of a molecule for the drug-discovery process requires the simultaneous optimization of numerous, often competing objectives. Traditionally, standard chemo-informatics methods ignored this problem and ...
    • Article  

      De novo drug design using multiobjective evolutionary graphs 

      Nicolaou, Christos A.; Apostolakis, Joannis; Pattichis, Constantinos S. (2009)
      Drug discovery and development is a complex, lengthy process, and failure of a candidate molecule can occur as a result of a combination of reasons, such as poor pharmacokinetics, lack of efficacy, or toxicity. Successful ...
    • Conference Object  

      Open source workflow systems in life sciences informatics 

      Achilleos, Kleo G.; Kannas, Christos C.; Nicolaou, Christos A.; Pattichis, Constantinos S.; Promponas, Vasilis J. (2012)
      A simple yet powerful programming tool enabling in silico experimentation, end-to-end data management through web services as well as use of grid and cloud processing power is scientific workflows. This technology is ...
    • Conference Object  

      Optimal graph design using a knowledge-driven multi-objective evolutionary graph algorithm 

      Nicolaou, Christos A.; Kannas, Christos C.; Pattichis, Constantinos S. (2009)
      Designing appropriate graphs is a problem frequently occurring in several common applications ranging from designing communication and transportation networks to discovering new drugs. More often than not the graphs to be ...
    • Conference Object  

      A parallel implementation of a multi-objective evolutionary algorithm 

      Kannas, Christos C.; Nicolaou, Christos A.; Pattichis, Constantinos S. (2009)
      Multi-objective Evolutionary Algorithms (MOEAs) have features that can be exploited to harness the processing power offered by modern multi-core CPUs. Modern programming languages offer the ability to use threads and ...
    • Conference Object  

      A workflow system for virtual screening in cancer chemoprevention 

      Kannas, Christos C.; Achilleos, Kleo G.; Antoniou, Zinonas C.; Nicolaou, Christos A.; Pattichis, Constantinos S.; Kalvari, Ioanna; Kirmitzoglou, Ioannis K.; Promponas, Vasilis J. (2012)
      Computer-aided drug discovery techniques have been widely used in recent years to support the development of new pharmaceuticals. Virtual screening, the computational counterpart of experimental screening, attempts to ...