Probabilistic methods for predicting protein functions in protein-protein interaction networks

Autor: Best, Christoph, Zimmer, Ralf, Apostolakis, Joannis

Publikováno v: in: R. Giegerich, J. Stoye (eds.), German Conference on Bioinformatics 2004, Lecture Notes in Informatics, Ges. f. Informatik, Bonn, Germany, 2004

We discuss probabilistic methods for predicting protein functions from protein-protein interaction networks. Previous work based on Markov Randon Fields is extended and compared to a general machine-learning theoretic approach. Using actual protein i

Externí odkaz: http://arxiv.org/abs/q-bio/0503018

On the ease of predicting the thermodynamic properties of beta-cyclodextrin inclusion complexes

Autor: Apostolakis Joannis, Steffen Andreas

Publikováno v: Chemistry Central Journal, Vol 1, Iss 1, p 29 (2007)

Abstract Background In this study we investigated the predictability of three thermodynamic quantities related to complex formation. As a model system we chose the host-guest complexes of β-cyclodextrin (β-CD) with different guest molecules. A trai

Externí odkaz: https://doaj.org/article/3e7d1bdb99e94187a5357d5046d90f8d

De novo drug design using multiobjective evolutionary graphs

Autor: Nicolaou, Christos A., Apostolakis, Joannis, Pattichis, Constantinos S.

Publikováno v: Journal of Chemical Information and Modeling
J.Chem.Inf.Model.

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 drug candidates necessarily

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b32fbeb45cab3839fafa07147f2ad22
http://gnosis.library.ucy.ac.cy/handle/7/54634

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