Frontiers of Medical AI - Therapeutics and Workflows
Explore cutting-edge AI applications in medicine, focusing on therapeutics and workflow optimization. Learn about AI-driven cancer treatment decisions, protein engineering, and specialized medical search engines.
Protein Design with Generative Diffusion Models
Explore generative diffusion models for protein design, covering theoretical foundations and applications in sequence and structure generation for optimized engineering and biological insights.
Machine Learning-Based Protein Engineering - Some Thoughts
Explore machine learning applications in protein engineering with Jennifer Listgarten. Gain insights into cutting-edge techniques and their impact on biomedical research.
Computational Protein Design and De Novo Design of Proteins
Explore computational approaches for designing functional proteins, including surface pattern analysis and de novo topology exploration, with applications in vaccine design, T-cell therapies, and biosensors.
De Novo Protein Design Using Deep Learning and Musical Representations
Explore innovative protein design using deep learning and musical representations, bridging materials science and artificial intelligence for groundbreaking bioengineering applications.
CRISPR 2.0 and the Future of Gene Therapies
Exploring CRISPR 2.0's advancements in gene therapy, challenges in implementation, and future opportunities for startups in the field of genetic engineering and precision medicine.
Deep Learning in Structural Biology and Protein Design - How, Where, and Why
Explore deep learning applications in structural biology and protein design, focusing on AlphaFold2 and emerging methods for visualizing proteins and creating novel ones for therapeutic use.
The Chemistry of Beauty - The Lore and the Science
Explore the science behind cosmetics with expert panelists discussing key ingredients, breakthroughs, consumer diversity, and industry regulations in hair and skin products.
Parameters and Determinants of Responses to Selection in Antibody Libraries
Explore determinants of selection responses in antibody libraries, focusing on key parameters and their impact on library evolution and optimization.
Evolved Base Editors, Prime Editors, Recombinases, and Transposases for Targeted Gene Correction - David Liu
Evolved base editors, prime editors, recombinases, and transposases for targeted gene correction and integration in cells, animals, and patients. Cutting-edge genome editing technologies and their therapeutic applications.
LLMs in Biomaterials Production - MLOps Podcast #193
Explore AI-driven protein design for sustainable biomaterials. Discover how LLMs revolutionize biotech, from vegan collagen to eco-friendly plastics, and the challenges of decoding protein "grammar" for future innovations.
Multimodal Deep Learning for Protein Engineering
Explore multimodal deep learning for protein engineering, covering sequence-based models, structural approaches, and biophysical features to predict and generate functional proteins.
Protein Design Workflows Employing Reinforcement Learning and Preference Optimization - Tutorial 4
Explore protein design workflows using reinforcement learning and preference optimization techniques for advanced molecular engineering.
Investigating Gene Activation Dynamics in Human Polycomb Chromatin with Synthetic Reader-Effectors
Explore gene activation dynamics in human polycomb chromatin using synthetic reader-effectors. Gain insights from Dr. Karmella Haynes' research on applying chromatin properties to engineer proteins controlling cell development.
Introducing ALiCE - Simple, Scalable, Cell-Free Expression of Difficult-to-Express Proteins
Explore ALiCE®, a eukaryotic lysate for high-yield protein expression. Learn about its capabilities in post-translational modifications and potential for protein engineering. Gain insights from Dr. Charles Williams of LenioBio.
Accelerate Discovery and Development by Optimizing the Protein Engineering Workflow
Optimize protein engineering workflow for enhanced biologics development. Learn advanced gene synthesis and expression techniques to boost yields and accelerate discovery in mammalian systems.
TRACeR: Antigen-Centric MHC Recognition by a Novel Engineered Protein Platform
Explore a novel engineered protein platform for antigen-centric MHC recognition, revolutionizing immune system understanding and potential therapeutic applications.
Machine Learning-Based Design of Proteins
Explore machine learning-based protein design with Jennifer Listgarten, covering directed evolution, predictive models, and optimization techniques for gene therapy applications.
Machine Learning-based Design of Proteins and Small Molecules
Explore machine learning approaches for protein engineering, focusing on data-driven design to create proteins with desired properties and the challenges of extrapolation in predictive modeling.
Machine Learning-Based Protein Engineering - Insights and Approaches
Explore ML-based protein engineering insights, discussing cutting-edge techniques and potential applications in biotechnology and drug discovery.
Illuminating Protein Space with Generative Models
Explore generative modeling for protein design, focusing on building learning systems that can generalize, scale, and create fit-for-purpose protein complexes on demand.