Drug development Archives

Bringing AI-driven protein-design tools to biologists everywhere

Founded by Tristan Bepler PhD ’20 and former MIT professor Tim Lu PhD ’07, OpenProtein.AI offers researchers open-source models and other tools for protein engineering.

Using synthetic biology and AI to address global antimicrobial resistance threat

Driven by overuse and misuse of antibiotics, drug-resistant infections are on the rise, while development of new antibacterial tools has slowed.

3 Questions: Using AI to accelerate the discovery and design of therapeutic drugs

Professor James Collins discusses how collaboration has been central to his research into combining computational predictions with new experimental platforms.

MIT scientists debut a generative AI model that could create molecules addressing hard-to-treat diseases

BoltzGen generates protein binders for any biological target from scratch, expanding AI’s reach from understanding biology toward engineering it.

AI maps how a new antibiotic targets gut bacteria

MIT CSAIL and McMaster researchers used a generative AI model to reveal how a narrow-spectrum antibiotic attacks disease-causing bacteria, speeding up a process that normally takes years.

MIT researchers develop AI tool to improve flu vaccine strain selection

VaxSeer uses machine learning to predict virus evolution and antigenicity, aiming to make vaccine selection more accurate and less reliant on guesswork.

A new model predicts how molecules will dissolve in different solvents

Solubility predictions could make it easier to design and synthesize new drugs, while minimizing the use of more hazardous solvents.

Using generative AI, researchers design compounds that can kill drug-resistant bacteria

The team used two different AI approaches to design novel antibiotics, including one that showed promise against MRSA.

Toward video generative models of the molecular world

Starting with a single frame in a simulation, a new system uses generative AI to emulate the dynamics of molecules, connecting static molecular structures and developing blurry pictures into videos.

MIT researchers introduce Boltz-1, a fully open-source model for predicting biomolecular structures

With models like AlphaFold3 limited to academic research, the team built an equivalent alternative, to encourage innovation more broadly.

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Drug development

Bringing AI-driven protein-design tools to biologists everywhere

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Using synthetic biology and AI to address global antimicrobial resistance threat

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3 Questions: Using AI to accelerate the discovery and design of therapeutic drugs

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MIT scientists debut a generative AI model that could create molecules addressing hard-to-treat diseases

Like this:

AI maps how a new antibiotic targets gut bacteria

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MIT researchers develop AI tool to improve flu vaccine strain selection

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A new model predicts how molecules will dissolve in different solvents

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Using generative AI, researchers design compounds that can kill drug-resistant bacteria

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Toward video generative models of the molecular world

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MIT researchers introduce Boltz-1, a fully open-source model for predicting biomolecular structures

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