In Silico Testing

In Silico Toxicology
As the shortest definition; In silico toxicology is the application of computer technologies to analyze available data, model and predict the toxicological activity of a substance.
In silico refers to the computational or scientific analysis of substances and their related data by computer-based analysis.
Computational algorithms are used to predict toxicity and perform safety analysis (mathematical, chemical, biological).
From regulatory agencies, industry (pharmaceutical, medical, chemical, cosmetic, food and consumer products) and academic research Incoming data is collected, integrated and used in modeling and validation.
Additionally, in silico screening is performed on a computational toxicology and pharmacology platform that allows in silico predictions: in vitro toxicity studies, maximum dose concentration studies, animal toxicology studies, pharmacokinetics, and human health side effects.
In silico approaches are useful for predicting human health effects. However, it is debated whether such alternatives can replace animal studies and to what extent it is still unclear.

Our services;
• Artificial Intelligence-supported analysis (In Silico)
• Food supplement Medicomarketing support (Bioavailability measurement via In silico)
• Molecule Design or Positioning a known molecule for a new indication
• ICH M7; Mutagenicity test (rapid, sustainable, low-cost solution for all impurities, including drugs, A1)
• In Vitro ADME (absorption, distribution, metabolism, excretion)

Nanolab Laboratories Group, toxicity prediction tools , modeling types, following regulations and guidelines in in silico toxicology, and evaluating application and development studies from the scientific literature and case studies from an in silico toxicology perspective.