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Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review
Despite considerable progress in genome-and proteome-based high-throughput screening
methods and in rational drug design, the increase in approved drugs in the past decade did …
methods and in rational drug design, the increase in approved drugs in the past decade did …
Complexity in cancer biology: is systems biology the answer?
E Koutsogiannouli, AG Papavassiliou… - Cancer …, 2013 - Wiley Online Library
Complex phenotypes emerge from the interactions of thousands of macromolecules that are
organized in multimolecular complexes and interacting functional modules. In turn, modules …
organized in multimolecular complexes and interacting functional modules. In turn, modules …
Pred-binding: large-scale protein–ligand binding affinity prediction
Drug target interactions (DTIs) are crucial in pharmacology and drug discovery. Presently,
experimental determination of compound–protein interactions remains challenging because …
experimental determination of compound–protein interactions remains challenging because …
[HTML][HTML] Information entropy as a basic building block of complexity theory
What is information? What role does information entropy play in this information exploding
age, especially in understanding emergent behaviors of complex systems? To answer these …
age, especially in understanding emergent behaviors of complex systems? To answer these …
PTML model of enzyme subclasses for mining the proteome of biofuel producing microorganisms
Predicting enzyme function and enzyme subclasses is always a key objective in fields such
as biotechnology, biochemistry, medicinal chemistry, physiology, and so on. The Protein …
as biotechnology, biochemistry, medicinal chemistry, physiology, and so on. The Protein …
ANN multiscale model of anti-HIV drugs activity vs AIDS prevalence in the US at county level based on information indices of molecular graphs and social networks
This work is aimed at describing the workflow for a methodology that combines
chemoinformatics and pharmacoepidemiology methods and at reporting the first predictive …
chemoinformatics and pharmacoepidemiology methods and at reporting the first predictive …
New insights toward the discovery of antibacterial agents: multi-tasking QSBER model for the simultaneous prediction of anti-tuberculosis activity and toxicological …
A Speck-Planche, VV Kleandrova… - European Journal of …, 2013 - Elsevier
Tuberculosis (TB) constitutes one of the most dangerous and serious health problems
around the world. It is a very lethal disease caused by microorganisms of the genus …
around the world. It is a very lethal disease caused by microorganisms of the genus …
IFPTML map** of nanoparticle antibacterial activity vs. pathogen metabolic networks
Nanoparticles are useful antimicrobial drug-release systems, but some nanoparticles also
exhibit antibacterial activity. However, investigation of their antibacterial activity is a difficult …
exhibit antibacterial activity. However, investigation of their antibacterial activity is a difficult …
Alignment-free method to predict enzyme classes and subclasses
R Concu, MNDS Cordeiro - International journal of molecular sciences, 2019 - mdpi.com
The Enzyme Classification (EC) number is a numerical classification scheme for enzymes,
established using the chemical reactions they catalyze. This classification is based on the …
established using the chemical reactions they catalyze. This classification is based on the …
Towards rational nanomaterial design by predicting drug–nanoparticle system interaction vs. bacterial metabolic networks
The emergence of multidrug-resistant (MDR) strains with perturbed metabolic networks
(MNs) pushes researchers to improve antibacterial drugs (ADs). Certain nanoparticles (NPs) …
(MNs) pushes researchers to improve antibacterial drugs (ADs). Certain nanoparticles (NPs) …