All Topics
All Topics
Technology
Technology
AI
AI
Business
Business
Entertainment
Entertainment
News
News
Programming
Programming
Science
Science
Design
Design
Environment
Environment
Finance
Finance
Crypto
Crypto
Politics
Politics
Sports
Sports
Education
Education
Gaming
Gaming
Art
Art
Music
Music
Health
Health
Security
Security
Books
Books
Food
Food
Travel
Travel
Personal
Personal
Bluesky
Twitter

Introducing RFdiffusion2

A new deep-learning model developed by scientists at the IPD and MIT is redefining what’s possible in enzyme design. The post Introducing RFdiffusion2 first appeared on Institute for Protein Design .

Read the full article
admin1y agoen

You might also wanna read

AI-Driven Protein Binder Design: Progress and Pitfalls in Evaluation Practices

Build better molecules with frontier AI models. With AI, we help every scientist reshape biology.

boltz.bio·18d ago

Protein Design’s AI Revolution: Inside David Baker’s “Communal Brain”

A Nobel laureate’s decades-long commitment to open science is reshaping biotechnology in the AI era. Deep learning methods can now design no

GEN·2d ago

De novo design of DNA origami with a generative diffusion model

Discover advanced DNA origami design! Using a diffusion model on extensive datasets, complex nanostructures become reality. Dive into the fu

doi.org·20d ago

Directed enzyme evolution and the Nobel Prize: Making enzymes evolve in the lab

Frances Arnold on directed enzyme evolution: random mutation plus smart screening, and why it changed enzyme engineering and industry.

news-medical.net·2d ago

Physics-based generative approach enables de novo design of ligand-binding proteins and biosensors

The de novo design of ligand-binding proteins has tremendous potential to revolutionize biosensor technology, yet converting these designs i

biorxiv.org·1d ago

The future of computational biology for macromolecules in the age of AI: challenges and opportunities

We have seen more progress in computational biology for macromolecules in the last five years than we experienced in the five preceding deca

journals.plos.org·7d ago

The future of computational biology for macromolecules in the age of AI: challenges and opportunities

We have seen more progress in computational biology for macromolecules in the last five years than we experienced in the five preceding deca

journals.plos.org·7d ago

Comments

Sign in to join the conversation.

No comments yet. Be the first.