About Meshari Alazmi Meshari Alazmi Ph.D., Computer Science synthetic biology systems biology thermodynamics protein structure prediction As a Ph.D. student in Xin Gao's group, Meshari earned his degree in synthetic biology, systems biology, thermodynamics, and protein structure prediction. Thereafter he worked in a similar capacity in Stefan Arold's group and later went on to become an assistant professor at the University of Hail, KSA. Research Interests Meshari Alazmi's research interests are in Synthetic Biology, Systems Biology, Thermodynamics, Protein Structure Prediction Scientific and Professional Membership Association for Computing Machinery (ACM) student Chapter Education Profile Ph.D. in computer science, King Events Presented Events Nov 11 - Nov 17, 2018 AI4GH Seminar Series - Towards Rational Design of Biosynthesis Pathways Meshari Alazmi, Ph.D., Computer Science Nov 11, 12:00 - 13:00 B2 R5220 machine learning bioinformatics structural biology systems biology Recent advances in genome editing and metabolic engineering enabled a precise construction of de novo biosynthesis pathways for high-value natural products. One important design decision to make for the engineering of heterologous biosynthesis systems is concerned with which foreign metabolic genes to introduce into a given host organism. Oct 21 - Oct 27, 2018 Towards rational design of biosynthesis pathways Meshari Alazmi, Ph.D., Computer Science Oct 24, 17:00 - 18:30 B3 R5209 machine learning bioinformatics structural biology systems biology Recent advances in genome editing and metabolic engineering enabled a precise construction of de novo biosynthesis pathways for high-value natural products. One important design decision to make for the engineering of heterologous biosynthesis systems is concerned with which foreign metabolic genes to introduce into a given host organism.
AI4GH Seminar Series - Towards Rational Design of Biosynthesis Pathways Meshari Alazmi, Ph.D., Computer Science Nov 11, 12:00 - 13:00 B2 R5220 machine learning bioinformatics structural biology systems biology Recent advances in genome editing and metabolic engineering enabled a precise construction of de novo biosynthesis pathways for high-value natural products. One important design decision to make for the engineering of heterologous biosynthesis systems is concerned with which foreign metabolic genes to introduce into a given host organism.
Towards rational design of biosynthesis pathways Meshari Alazmi, Ph.D., Computer Science Oct 24, 17:00 - 18:30 B3 R5209 machine learning bioinformatics structural biology systems biology Recent advances in genome editing and metabolic engineering enabled a precise construction of de novo biosynthesis pathways for high-value natural products. One important design decision to make for the engineering of heterologous biosynthesis systems is concerned with which foreign metabolic genes to introduce into a given host organism.
Related Sites Structural and Functional Bioinformatics (SFB) Biological and Environmental Science and Engineering (BESE) Computer Science (CS) Related Content Articles 5 Events 2
