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 Articles Related News January 2020 LD Motif Finder locates ancient hidden protein patterns 1 min read · Mon, Jan 6 2020 News artificial intelligence machine learning human health bioscience A machine learning method has identified highly elusive amino acid sequences involved in cell morphogenesis and adhesion and in diseases like cancer. October 2018 Meshari Alazmi defends his Ph.D. thesis 1 min read · Wed, Oct 24 2018 News machine learning bioinformatics structural biology systems biology Meshari Alazmi, a Ph.D. candidate under the supervision of Associate Professor Xin Gao, defended his Ph.D. dissertation on October 24, 2018. May 2018 Meshari Alazami defends his thesis proposal 1 min read · Tue, May 22 2018 News machine learning bioinformatics structural biology systems biology Meshari Alazami, a Ph.D. student under the supervision of Associate Professor Xin Gao, successfully defended his thesis proposal on May 22, 2018. His topic, "Towards Rational Design of Biosynthesis Pathways", was well received by committee members Associate Professor Xin Gao, Distinguished Professor Takashi Gojobori and Assistant Professor Robert Hoehndorf. June 2017 CBRC participates in NATDP 2017 1 min read · Sat, Jun 17 2017 News comparative genomics proteins Five research groups from CBRC participated in this year's National Academic Talent Development Program (NATDP) Symposium on April 20. The Knowledge Mining Lab presented their research on Microbial Knowledge-based Expolaration Systems as well as Novel Computational Methods that Facilitate Development of Cyanofactories for Free Fatty Acid Production. April 2016 Our biosynthesis pathway design server, MRE, published in NAR 1 min read · Sun, Apr 17 2016 News Congratulates Hiro, Meshari, and Xuefeng on their work on MRE, a web tool to suggest foreign enzymes for the biosynthesis pathway design with competing endogenous reactions in mind which was published in Nucleic Acids Research.
LD Motif Finder locates ancient hidden protein patterns 1 min read · Mon, Jan 6 2020 News artificial intelligence machine learning human health bioscience A machine learning method has identified highly elusive amino acid sequences involved in cell morphogenesis and adhesion and in diseases like cancer.
Meshari Alazmi defends his Ph.D. thesis 1 min read · Wed, Oct 24 2018 News machine learning bioinformatics structural biology systems biology Meshari Alazmi, a Ph.D. candidate under the supervision of Associate Professor Xin Gao, defended his Ph.D. dissertation on October 24, 2018.
Meshari Alazami defends his thesis proposal 1 min read · Tue, May 22 2018 News machine learning bioinformatics structural biology systems biology Meshari Alazami, a Ph.D. student under the supervision of Associate Professor Xin Gao, successfully defended his thesis proposal on May 22, 2018. His topic, "Towards Rational Design of Biosynthesis Pathways", was well received by committee members Associate Professor Xin Gao, Distinguished Professor Takashi Gojobori and Assistant Professor Robert Hoehndorf.
CBRC participates in NATDP 2017 1 min read · Sat, Jun 17 2017 News comparative genomics proteins Five research groups from CBRC participated in this year's National Academic Talent Development Program (NATDP) Symposium on April 20. The Knowledge Mining Lab presented their research on Microbial Knowledge-based Expolaration Systems as well as Novel Computational Methods that Facilitate Development of Cyanofactories for Free Fatty Acid Production.
Our biosynthesis pathway design server, MRE, published in NAR 1 min read · Sun, Apr 17 2016 News Congratulates Hiro, Meshari, and Xuefeng on their work on MRE, a web tool to suggest foreign enzymes for the biosynthesis pathway design with competing endogenous reactions in mind which was published in Nucleic Acids Research.
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