Quantitative Structure-Activity Relationship (QSAR) is a powerful tool for predicting the biological activity of chemicals and Nanobiotechnology. QSAR is a type of predictive modeling that is used to predict the activity of a chemical or nanomaterial based on its chemical structure. It is widely used in the fields of toxicology, drug design and nanotechnology. In nanotechnology, QSAR is used to understand the relationship between the chemical structure of Nanobiotechnology and their biological activity. For example, the size, shape and composition of a nanoparticle can be used to predict its toxicity and its ability to interact with biological systems. QSAR models can also be used to predict the physical properties of Nanobiotechnology, such as solubility and surface area. QSAR models can be used to identify Nanobiotechnology with specific properties, such as those that are non-toxic or that have enhanced bioactivity. They can also be used to identify Nanobiotechnology with potential applications in medical, environmental and industrial areas. In addition, QSAR models can be used to develop more efficient and cost-effective production processes for Nanobiotechnology. QSAR models are also used to evaluate the safety and efficacy of Nanobiotechnology by predicting the potential for adverse health effects. This is important for ensuring the safe use of Nanobiotechnology in medical, environmental and industrial applications.
Title : Recent advances in nanomedicine: Sensors, implants, artificial intelligence, saving the environment, human studies, and more
Thomas J Webster, Hebei University of Technology, China
Title : Harnessing the unique transport properties of InAs nanowires for single molecule level sensing
Harry E Ruda, University of Toronto, Canada
Title : Success in developing CVD graphene coating on mild steel: A disruptive approach to remarkable/durable corrosion resistance
Raman Singh, Monash University, Australia
Title : Photonic metasurfaces in azobenzene materials
Ribal Georges Sabat, Royal Military College of Canada, Canada
Title : Advances in sustainable stimuli-responsive nanoscale platforms for biomedical applications
Manuela Cedrun Morales, CNR NANOTEC, Italy
Title : Using CuO polycrystalline nanofilms as sensor for small organic molecules
Paulo Cesar De Morais, Catholic University of Brasilia, Brazil