November 2017-: Currently we have positions for graduate students, undergraduate students, and postdocs to do research in our lab.
October 2017: Check out Prof. Saiz article on “Computing at the front-end by receptor networks” published in Cell Systems.
August 2017: Check out the special issue on “Signaling at Membranes” published in the Journal of Membrane Biology with Prof. Saiz as the guest editor.
August 2017: Check out Prof. Saiz article on “Insights into signaling and the functional complexity of biological membranes” published in the Journal of Membrane Biology.
May 26th, 2017: Congratulations to Iman Jeddi for successfully defending her dissertation on Computational Modeling and Analysis of Single-Stranded DNA Aptamers for Biosensing Applications. Dr. Jeddi is the latest PhD student to graduate from the Saiz lab.
Spring Quarter 2017: Prof. Saiz will be teaching two courses in Spring: BIM 152 (Molecular Control of Biosystems) for undergraduate students and BIM 189C (Computational tools and Applications in Bioengineering and Biomedicine) for undergraduate students.
March 2017: Our latest paper on “Three-dimensional modeling of single stranded DNA hairpins for aptamer-based biosensors” has been accepted in Scientific Reports.
February 2017: Check out Prof. Saiz article on “How Will Kinetics and Thermodynamics Inform Our Future Efforts to Understand and Build Biological Systems?” published in Cell Systems; other authors include Jennifer Doudna.
February 2017: Our latest paper on “Predicting human olfactory perception from chemical features of odor molecules” has just been published in Science.
February 2017: Check out what Science News is saying about our Science paper [Artificial intelligence grows a nose].
February 2017: Check out what ACS’ C&EN (Chemical & Engineering News) is saying about our Science paper [Computers predict molecules’ scent from their structures].
Research Synopsis— Modeling of Biological Networks & Systems Therapeutics Laboratory —
Computational Molecular Systems Biomedicine
The research of the Saiz Lab focuses on the integration of the molecular properties of the cellular components into the dynamics of relevant cellular processes, including signal transduction and gene regulation and their combined networks, with special interest in those altered in cancer and other diseases. Integration of the events that follow from the sensing of extracellular signals to the resulting cellular responses is needed to faithfully understand the functioning of the cell as a unit. Our work is highly interdisciplinary, drawing from techniques and tools from chemistry, physics, mathematics, computer science, biomedical sciences, and engineering; a key feature required for successful approaches to molecular systems biology. We combine computational and theoretical approaches together with experimental data to build models for accurately predicting the cellular behavior in terms of molecular properties. This type of models is also used “in reverse” to infer detailed molecular properties, such as the in vivo DNA mechanics, from physiological measurements in cell populations.In general, we want to understand and to follow the impact of molecular perturbations in the cellular components, such as a mutation in a protein or interactions with small molecules or drugs, through the different cellular processes up to the cellular behavior. [read more… Leonor Saiz profile at Biomedical Engineering]
Computational and theoretical approaches to the study of biological networks at the cellular and molecular level. Molecular systems biomedicine. Multiscale and multilevel approaches to biomolecular processes. Macromolecular complex assembly on DNA, membranes, and scaffolds. Statistical mechanics basis of gene regulation and signal transduction. Noise in cellular processes. In vivo biomolecular mechanics. Molecular biophysics: membranes, membrane associated proteins, and their interactions with small molecules and drugs.