{"682393":{"#nid":"682393","#data":{"type":"event","title":"BioE MS defense presentation- Andre Berry","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAdvisor:\u003C\/strong\u003E\u0026nbsp;Dr. Corey Wilson, Georgia Institute of Technology, School of Chemical and Biomolecular Engineering\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee Members:\u003C\/strong\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EDr. Raquel Lieberman, Georgia Institute of Technology, School of Chemistry \u0026amp; Biochemistry\u003C\/p\u003E\u003Cp\u003EDr. Matthew Realff\u0026nbsp;, Georgia Institute of Technology, School of Chemical and Biomolecular Engineering\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESynthetic Transcription Factor Allostery Mapping and Analysis\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EThis work aims to advance the synthetic design of allosterically regulated systems by extracting sequence-function correlations from engineered LacI-based anti-repressors. Through deep mutational scanning, we have generated comprehensive datasets correlating single-mutant genotypes with functional phenotypes. Building upon the experimental dataset and alongside model development efforts that utilize it, I introduce a novel approach to complement these analyses. By projecting deep mutational scanning data onto a representative protein structure model, I enable visual inspection and procedural analysis of position-based relationships. This projection, combined with quantitative data analysis across multiple datasets, generates a comprehensive, site-specific value list that can be algorithmically manipulated. This integrated approach, blending structural visualization with quantitative analysis, provides a deeper understanding towards position linked factors integral in LacI allostery. Ultimately, this research seeks to establish a foundation for improved engineering strategies for synthetic transcription factors and to enhance the development of features relevant for phenotype prediction efforts by further elucidating the mechanistic underpinnings of anti-repressor function and contributing to the broader understanding of protein allostery.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EBioE MS defense presentation- \u0022Synthetic Transcription Factor Allostery Mapping and Analysis\u0022 -Andre Berry\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"\u0022Synthetic Transcription Factor Allostery Mapping and Analysis\u0022"}],"uid":"27917","created_gmt":"2025-05-13 18:54:16","changed_gmt":"2025-05-13 18:55:21","author":"Laura Paige","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-05-15T14:00:00-04:00","event_time_end":"2025-05-20T16:00:00-04:00","event_time_end_last":"2025-05-20T16:00:00-04:00","gmt_time_start":"2025-05-15 18:00:00","gmt_time_end":"2025-05-20 20:00:00","gmt_time_end_last":"2025-05-20 20:00:00","rrule":null,"timezone":"America\/New_York"},"location":"1387 EST\u0026T","extras":[],"groups":[{"id":"65448","name":"Bioengineering Graduate Program"}],"categories":[],"keywords":[{"id":"172056","name":"go-BioE"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}