NIH VideoCast - Generative Biology: Learning to Program Cellular Machines

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Generative Biology: Learning to Program Cellular Machines

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Air date:	Wednesday, March 13, 2024, 2:00:00 PM Time displayed is Eastern Time, Washington DC Local
Views:	Total views: 402 (191 Live, 211 On-demand)
Category:	WALS - Wednesday Afternoon Lectures
Runtime:	01:02:54
Closed captioning:	Check box to display CC outside of the video Note: You can drag the captioning window around and resize it
Description:	My general scientific interests are in understanding how genetically encoded molecular programs can yield the remarkable behaviors observed in biological organisms, at multiple scales. I began my research career as a biophysical chemist and structural biologist studying problems such as the evolutionary optimization of enzymes, how protein structure is encoded in sequence, and the determinants of protein-protein interaction specificity. My research has gradually shifted towards utilizing this mechanistic understanding of molecules as a foundation to study how systems of interacting molecules assemble to yield cellular or organismal signaling behaviors – complex behaviors in both space and time. My lab is interested in both the fundamental principles governing these molecular programs, as well as the way such programs have evolved. How to identify the most relevant functional modules at various scales of biology is an ongoing but fascinating challenge. We have also become interested in using synthetic biology and our growing understanding of molecular networks to engineer cells with novel behaviors, such as therapeutic immune cells programmed to recognize and treat cancer or other diseases. This is a tremendously exciting time for creative exploration in biology: our knowledge of the genome and of basic molecular and network mechanisms is now combined with exciting new tools for interfacing with, interrogating, and engineering biological systems. For more information go to https://oir.nih.gov/wals

NLM Title:	Generative biology : learning to program cellular machines / Wendell Lim, Ph.D.
Author:	Lim, Wendell. National Institutes of Health (U.S.),
Publisher:
Abstract:	(CIT): My general scientific interests are in understanding how genetically encoded molecular programs can yield the remarkable behaviors observed in biological organisms, at multiple scales. I began my research career as a biophysical chemist and structural biologist studying problems such as the evolutionary optimization of enzymes, how protein structure is encoded in sequence, and the determinants of protein-protein interaction specificity. My research has gradually shifted towards utilizing this mechanistic understanding of molecules as a foundation to study how systems of interacting molecules assemble to yield cellular or organismal signaling behaviors - complex behaviors in both space and time. My lab is interested in both the fundamental principles governing these molecular programs, as well as the way such programs have evolved. How to identify the most relevant functional modules at various scales of biology is an ongoing but fascinating challenge. We have also become interested in using synthetic biology and our growing understanding of molecular networks to engineer cells with novel behaviors, such as therapeutic immune cells programmed to recognize and treat cancer or other diseases. This is a tremendously exciting time for creative exploration in biology: our knowledge of the genome and of basic molecular and network mechanisms is now combined with exciting new tools for interfacing with, interrogating, and engineering biological systems.For more information go to https://oir.nih.gov/wals.
Subjects:	Cell Engineering Cellular Reprogramming Techniques Models, Molecular Signal Transduction Synthetic Biology--methods
Publication Types:	Lecture Webcast

NLM Classification:	QT 36
NLM ID:	9918820066806676
CIT Live ID:	52291
Permanent link:	https://videocast.nih.gov/watch=52291

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