Tag

Protein Design

All articles tagged with #protein design

Programmable quasisymmetric protein cages from two complementary building blocks
science6 days ago

Programmable quasisymmetric protein cages from two complementary building blocks

Nature reports a computational design strategy using geometric frustration to create two-component, quasisymmetric protein cages that assemble into sphere-like structures by embedding curvature-inducing pentagonal defects. By pairing complementary trimeric and dimeric blocks, the authors programmably control cage size from ~40 nm to >200 nm and mass from 2 to >50 MDa, comparable to viral capsids. The cages are functionalized for ribonucleoprotein cargo loading and cellular uptake, enabling studies of cargo delivery and size-dependent diffusion in cells. Data and code are publicly available (Zenodo, GitHub), underscoring a new route for biologics delivery and cell biology tools.

Bacteria Survive on 19 Amino Acids in Ribosomes for 450 Generations
science14 days ago

Bacteria Survive on 19 Amino Acids in Ribosomes for 450 Generations

Columbia University researchers redesigned 21 ribosomal proteins in E. coli to remove isoleucine, using AI-guided protein design, and created a viable strain that survived and reproduced for over 450 generations. The genome still largely relies on isoleucine, so it's not a full 19-amino-acid organism, but the work shows life can function with a reduced amino acid alphabet and provides a framework for studying early protein synthesis.

AI-Designed NovoTags Expand Multicolor Live-Cell Imaging
science16 days ago

AI-Designed NovoTags Expand Multicolor Live-Cell Imaging

Researchers at HHMI’s AI@HHMI, led by David Baker and Luke Lavis, are using RFdiffusion-based AI to design NovoTags—small protein binders that pair with Janelia Fluor dyes—to create a new class of fluorescent probes. This approach could let scientists label many colors and proteins simultaneously, without traditional chemical linkers, enabling longer, multi-color imaging and accelerating discovery. The team plans to rollout NovoTags for about a dozen dye colors and expand to dyes that blink or respond to physiological signals, with the tools becoming broadly available to the scientific community.

BindCraft AI Excels in One-Shot Protein Design
science9 months ago

BindCraft AI Excels in One-Shot Protein Design

BindCraft, an AI-powered pipeline for de novo protein binder design developed by EPFL researchers, achieves high success rates in creating functional protein binders against diverse targets, including challenging proteins like CRISPR-Cas9, with potential to accelerate drug discovery and therapeutic development. Its open-source availability has garnered widespread industry and academic adoption, marking a significant advancement in computational protein engineering.

AI-Driven Advances in Precision Cancer Treatments and Vaccines
health10 months ago

AI-Driven Advances in Precision Cancer Treatments and Vaccines

Researchers have developed an AI platform that rapidly designs personalized immune cell therapies for cancer, reducing development time from years to weeks, and showing promising laboratory results for targeted cancer cell destruction. The method involves creating custom proteins to guide immune cells to attack tumors, with plans for clinical trials in the next five years.

Latent Labs unveils web AI tool to democratize protein design
science-and-technology10 months ago

Latent Labs unveils web AI tool to democratize protein design

Latent Labs has launched a web-based AI model called LatentX that enables users to design novel proteins, including therapeutics like nanobodies and antibodies, directly in their browser. The model has achieved state-of-the-art performance and aims to democratize protein design by licensing its technology to external organizations, with plans to monetize advanced features in the future.

AI Breakthrough Turns 'Undruggable' Proteins into Treatment Targets
science10 months ago

AI Breakthrough Turns 'Undruggable' Proteins into Treatment Targets

Researchers from Nobel Laureate David Baker's lab have developed AI-based methods to target intrinsically disordered regions (IDRs) in proteins, previously considered 'undruggable,' enabling new therapeutic possibilities for diseases like cancer, pain, and diabetes. These approaches use amino acid sequences to design high-affinity binders, overcoming previous challenges and expanding drug discovery horizons.

"Mitigating the Risks of Weaponizing AI-Designed Proteins: Safety Guidelines and Unlearning Techniques"
science-and-technology2 years ago

"Mitigating the Risks of Weaponizing AI-Designed Proteins: Safety Guidelines and Unlearning Techniques"

Scientists are calling for the safe and ethical use of AI-designed proteins to prevent potential bioweaponization, as AI tools have advanced the capacity to design new proteins. An initiative has been launched to encourage self-regulation within the biodesign community, including the establishment of expert committees to review software and improved screening of DNA synthesis. While some experts advocate for government regulation to address biosecurity risks, others fear it could hinder the development of beneficial applications of AI-designed proteins.

"Securing AI Against Bioweapons: Scientists Unite for Responsible Protein Design and Vulnerability Mitigation"
technology2 years ago

"Securing AI Against Bioweapons: Scientists Unite for Responsible Protein Design and Vulnerability Mitigation"

Over 90 biologists and A.I. specialists, including Nobel laureate Frances Arnold, have signed an agreement to ensure that A.I.-aided research in protein design moves forward without posing serious harm, particularly in the creation of bioweapons. They argue that the benefits of current A.I. technologies for protein design far outweigh the potential for harm, emphasizing the potential for new vaccines and medicines. The agreement aims to regulate the use of equipment needed to manufacture new genetic material, rather than suppress the development or distribution of A.I. technologies.