{"682772":{"#nid":"682772","#data":{"type":"event","title":"BioE MS Thesis Presentation - Andre Berry","body":[{"value":"\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EDr. Corey Wilson\u003C\/strong\u003E\u0026nbsp;- Love Family Professor and Associate Chair for Faculty Development \u2013 Georgia Institute of Technology, School of Chemical and Biomolecular Engineering\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EDr. Raquel Lieberman\u003C\/strong\u003E\u0026nbsp;- Professor, Sepcic-Pfeil Chair in Chemistry - Georgia Institute of Technology, School of Chemistry \u0026amp; Biochemistry\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EDr. Matthew Realff\u003C\/strong\u003E\u0026nbsp;- Professor and David I.J. Wang Faculty Fellow - Georgia Institute of Technology, School of Chemical and Biomolecular Engineering\u003C\/li\u003E\u003C\/ul\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 Thesis Presentation - Synthetic Transcription Factor Allostery Mapping and Analysis - Andre Berry\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"\u0022Synthetic Transcription Factor Allostery Mapping and Analysis\u0022"}],"uid":"36617","created_gmt":"2025-06-11 19:58:03","changed_gmt":"2025-06-11 19:58:03","author":"lwood34","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-06-18T14:00:00-04:00","event_time_end":"2025-06-18T16:00:00-04:00","event_time_end_last":"2025-06-18T16:00:00-04:00","gmt_time_start":"2025-06-18 18:00:00","gmt_time_end":"2025-06-18 20:00:00","gmt_time_end_last":"2025-06-18 20:00:00","rrule":null,"timezone":"America\/New_York"},"location":"EBB CHoA Seminar Room - 1st Floor","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":""}}}