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Axmed raises $2M from Founderful to streamline drug supply chains in underserved markets | TechCrunch


It is estimated that about 2 billion people, especially those in lower- and middle-income countries, lack access to quality and affordable essential medicines. The situation is exacerbated by low-quality or even killer counterfeit drugs that fill the gap. This shortfall means diseases that are otherwise treatable or preventable end up causing distress and even death. This is the […]

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Robotic Automations

Xaira, an AI drug discovery startup, launches with a massive $1B, says it's 'ready' to start developing drugs | TechCrunch


Advances in generative AI have taken the tech world by storm. Biotech investors are making a big bet that similar computational methods could revolutionize drug discovery.

On Tuesday, ARCH Venture Partners and Foresite Labs, an affiliate of Foresite Capital, announced that they incubated Xaira Therapeutics and funded the AI biotech with $1 billion. Other investors in the new company, which has been operating in stealth mode for about six months, include F-Prime, NEA, Sequoia Capital, Lux Capital, Lightspeed Venture Partners, Menlo Ventures, Two Sigma Ventures and SV Angel.

Xaira’s CEO Marc Tessier-Lavigne, a former Stanford president and chief scientific officer at Genentech, says the company is ready to start developing drugs that were impossible to make without recent breakthroughs in AI. “We’ve done such a large capital raise because we believe the technology is at an inflection point where it can have a transformative effect on the field,” he said.

The advances in foundational models come from the University of Washington’s Institute of Protein Design, run by David Baker, one of Xaira’s co-founders. These models are similar to diffusion models that power image generators like OpenAI’s DALL-E and Midjourney. But rather than creating art, Baker’s models aim to design molecular structures that can be made in a three-dimensional, physical world. 

While Xaira’s investors are convinced that the company can revolutionize data design, they emphasized that generative AI applications in biology are still in the early innings.

Vik Bajaj, CEO of Foresite Labs and managing director of Foresite Capital, said that unlike in technology, where data that train AI models is created by consumers, biology and medicine are “data poor. You have to create the datasets that drive model development.”

Other biotech companies using generative AI to design drugs include Recursion, which went public in 2021, and Genesis Therapeutics, a startup that last year raised a $200 million Series B co-led by Andreessen Horowitz.

The company declined to say when it expects to have its first drug available for human trials. However, ARCH Venture Partners managing director Bob Nelsen underscored that Xaira and its investors are ready to play the long game.

“You need billions of dollars to be a real drug company and also think AI. Both of those are expensive disciplines,” he said.  

Xaira wants to position itself as a powerhouse of AI drug discovery. However, some view bringing on Tessier-Lavigne as CEO as an unexpected move. Tessier-Lavigne resigned last year from his position as Stanford president amid allegations that his laboratory at Genetech manipulated research data.

But investors are confident that he is the right person for the job.

“I have known Marc for many years and know him to be a person of integrity and scientific vision who will be an exceptional CEO,” Nelsen said in an email. “Stanford exonerated him of any wrongdoing or scientific misconduct.”  


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Robotic Automations

Varda Space's orbital drug factory success fuels $90M in new funding | TechCrunch


Varda Space Industries has closed a massive tranche of funding just weeks after its first drug manufacturing capsule returned from orbit.

The company’s $90 million Series B round marks an inflection point for the company, which is now gearing up to scale from the initial demonstration mission to a regular set of missions carrying customer payloads, Varda founder Delian Asparouhov told TechCrunch.

El Segundo-based Varda was founded in 2021 by Asparouhov, who is also a partner at Founders Fund, and Will Bruey, a spacecraft engineer who cut his teeth at SpaceX. The pair had an audacious goal to commercialize what until very recently was promising but ultimately small-scale research into the effects of microgravity on pharmaceutical crystals.

Indeed, Varda’s first mission, which returned to Earth in February after 10 months in orbit, does not mark the first time a drug has been crystallized in microgravity. Astronauts have been conducting protein crystallization experiments in space for decades on the International Space Station and before that, the Space Shuttle.

But the business case for expanding this research has never materialized — until now. This is for a few different reasons, Asparouhov explained: because of the crew, there are significant limitations to the types of solvents or other materials you can bring onboard the ISS; there are constraints related to intellectual property for work that happens on the station; and pharmaceutical lab equipment designed for use in-space was generally lacking in sophistication compared to the terrestrial versions.

But much has changed, especially in the space industry. Part of the reason Varda is possible today is due to the availability of regular, low-cost rideshare launches from SpaceX and Rocket Lab’s innovations in satellite bus manufacturing. Even beyond these external partnerships, the startup has made significant headway in its own right, as the success of the first mission showed: Their reentry capsule appears to have performed flawlessly and the experiment to reformulate the HIV medicine ritonavir was executed without a hitch, it says.

Varda has also started publishing the results of its internal R&D efforts, including a scientific paper on its hyper-gravity (as opposed to microgravity) crystallization platform, which the startup developed as a sort of screening method prior to sending drugs to space. It’s an entirely new field of research that takes advantage of the ability to truly unlock gravity as a variable in scientific experiments.

“Over time, we will be able to generate data sets between both hyper-gravity and microgravity and start to show correlations,” he said. “As Varda flies more and more, we are confident that we will start to be able to develop systems of thinking where, for patterns of particular types of chemical systems, hyper-gravity will be used as a way to determine the correlation between, ultimately, microgravity and the drug performance.”

There’s still lots of work ahead. While engineers will study this first spacecraft, called Winnebago, to understand the wear and tear on the vehicle, the company as a whole will focus more on cadence before reusability, he said.

“If you just amortize the total cost to operate the business, we have so much more to gain by initially increasing cadence of flights before we really started to go for reusability. In some ways, it’s like we need to get to a once-a-month cadence before reusability is actually the biggest lever for us.”   

Varda does aim to significantly drive down mission costs by refurbishing and reusing the Winnebago capsules, as SpaceX does with its Dragon capsule, but Asparouhov said that won’t happen until later in the decade, around 2027. (In a recent podcast appearance, he specified that the all-in initial mission cost around $12 million, which will drop to $5-6 million by mission 4 and $2.5 million or less by mission 10.) Larger capsules are also in the longer-term pipeline, though also not until the 2027 time frame.

Asparouhov also confirmed that pharmaceuticals will be Varda’s sole focus for the next 10-20 (or more) years, based on the company’s conviction that pharmaceutical products will generate more economic value compared to other materials. A lot of that comes down to the fact that there are a significant set of drugs that require only a “seed” of the material that can only be made in microgravity, and the rest of the drug formulation can be completed here on Earth. That means the product is high revenue but low mass.

The company is also aiming to improve the processing capabilities of the on-board pharmaceutical reactor. The first mission carried just one drug protein, but in the future the company hopes to process multiple drug products that could be run through different processing regimes. In the future, other missions could carry larger reactors for drugs that do need more than the “seed” crystal, and those mission profiles would be closer to something like mass manufacturing.

Varda has “a handful” of signed contracts with publicly traded biotech companies, and the next three missions already manifested with Rocket Lab, which provided the spacecraft bus for mission 1. The startup’s next manufacturing mission will launch later this year, and the team plans to land that spacecraft in Australia.

The new financing was led by Caffeinated Capital, with participation from Lux Capital, General Catalyst, Founders Fund and Khosla Ventures. Varda has now raised $145 million to date.


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Robotic Automations

Isomorphic inks deals with Eli Lilly and Novartis for drug discovery | TechCrunch


Isomorphic Labs, the London-based, drug discovery-focused spin-out of Google AI R&D division DeepMind, today announced that it’s entered into strategic partnerships with two pharmaceutical giants, Eli Lilly and Novartis, to apply AI to discover new medications to treat diseases.

The deals have a combined value of around $3 billion. Isomorphic will receive $45 million upfront from Eli Lilly and potentially up to $1.7 billion based on performance milestones, excluding royalties. Novartis, meanwhile, will pay $37.5 million upfront in addition to funding “select” research costs and as much as $1.2 billion (once again excluding royalties) in performance incentives over time.

“We’re thrilled to embark on this partnership and apply our proprietary technology platform,” DeepMind co-founder and Isomorphic CEO Demis Hassabis was quote as saying in a press release. “The focus we share on advancing groundbreaking drug design approaches and appreciation of state-of-the-art science makes [these] partnership[s] particularly compelling.”

Fiona Marshall, president of biomedical research at Novartis, added in a statement: “Cutting-edge AI technologies … hold the potential to transform how we discover new drugs and accelerate our ability to deliver life-changing medicines for patients. This collaboration harnesses our companies’ unique strengths, from AI and data science to medicinal chemistry and deep disease area expertise, to realize new possibilities in AI-driven drug discovery.”

Isomorphic, which Hassabis launched in 2021 under DeepMind parent company Alphabet, draws on DeepMind’s AlphaFold 2 AI technology that can be used to predict the structure of proteins in the human body. By uncovering these structures, researchers can identify new target pathways to deliver drugs for fighting disease.

Researchers recently used AlphaFold to design and synthesize a potential drug to treat hepatocellular carcinoma, the most common type of primary liver cancer. And DeepMind is collaborating with Geneva-based Drugs for Neglected Diseases initiative, a nonprofit pharmaceutical organization that aims to tackle some of the most deadly diseases in the developing world, to apply AlphaFold to formulating therapeutics for Chagas disease and Leishmaniasis.

The latest version of AlphaFold can generate predictions for nearly all molecules in the Protein Data Bank, the world’s largest open access database of biological molecules, DeepMind announced in late October. The model can also accurately predict the structures of ligands — molecules that bind to “receptor” proteins and cause changes in how cells communicate — as well as nucleic acids (molecules that contain key genetic information) and post-translational modifications (chemical changes that occur after a protein’s created).

Already, Isomorphic is applying the new AlphaFold model, which it co-designed with DeepMind, to therapeutic drug design, helping to characterize different types of molecular structures important for treating disease.


Software Development in Sri Lanka

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