AI in drug discovery

Boston-based DeepCure may be an AI-focused biotech, but it sets itself apart by focusing its AI-powered platform on historically challenging drug targets that have eluded traditional approaches. “While AI in drug discovery is often viewed as a means to accelerate and reduce costs, our focus at DeepCure is on achieving true novelty in drug development…

 “Nearly all diseases stem from a molecular mechanism going wrong,” writes Sergei Yakneen, chief technology officer of Alphabet’s Isomorphic Labs in a recent blog post. “Whether it’s an infectious agent disrupting our cellular machinery or a breakdown in processes like DNA repair, identifying the right protein and finding molecules to interact with it is…

Two years ago, Deep Genomics was juggling about 40 different machine learning models to decode RNA biology. Now, they’ve revamped their approach with a single, powerful AI system known as BigRNA. This foundation model is capable of predicting how genes behave in different tissues, how they’re spliced, and how they interact with other cellular components…

One of the top promises of artificial intelligence/machine learning in drug discovery is reversing decades of dwindling productivity. But imagine if the technology makes good on its promise. And perhaps six or seven years from now, in which productivity is doubled, leaving pharma firms to have, theoretically, early stage pipelines that are twice as large.…

Empress Therapeutics, which exited stealth mode a year ago, has already discovered 15 drug leads across multiple diseases and target classes. Launched in 2020, the Flagship Pioneering startup is now driving towards filing multiple IND applications within the next 24 months. While AI has played a role in compressing those timelines, the company is focusing…

After ChatGPT debuted in late 2022 and GPT-4 hit the scene in March of the following year, many executives at pharma companies sat up and took note, interested in new tech that could accelerate the stubbornly slow drug development process. Translating that vision into reality, however, is not straightforward and a significant number of pharma…

In early 2022, secretive Altos Labs emerged with a sizable $3 billion launch to pursue anti-aging “cellular rejuvenation” amid rumors of Jeff Bezos’ backing. The company is the best-funded biotech in recent memory. But looking back to 2015 to present, the best funded company is Grail, which developed a multi-cancer early detection test but faced major…

Friso Postma, vice president of AI for drug discovery at BioXcel Therapeutics, prefers the term “augmented intelligence” to “artificial intelligence.” His company uses AI tools to support human experts in drug repurposing efforts. Postma, who holds a PhD in signal transduction from the Netherlands Cancer Institute, transitioned to AI from wearable digital health devices. “I…

Much has been made about AI’s potential to accelerate drug development timelines while chipping away at its often multi-billion-dollar price tag. But Abraham Heifets, CEO of Atomwise, believes that focusing on efficiency is not necessarily the right measure — or the right conversation — to have. Time for a different conversation “The two ways to…

Using generative AI in drug discovery, Iambic Therapeutics (formerly Entos) has advanced its IAM1363 drug candidate from program launch to clinical studies in fewer than 24 months — a process that often takes several years. Iambic Therapeutics’ AI drug development milestone relied on an alliance with NVIDIA researchers and engineers and through the use of…

Pharma’s potential breakthroughs in AI, ADCs, and GLP-1 receptor agonists raise a critical question: can innovation outpace the relentless rise of chronic disease? The IQVIA Institute for Human Data Science sheds light on this theme, among many others, in its 80-page Global Trends in R&D 2024 report. Pillar 1: GLP-1 receptor agonists targeting metabolic disease…

Despite biopharma’s 2023 layoffs and challenges, innovation won your clicks last year with over 130,000 of them on our Pharma 50 report alone. But while giants dominated, your clicks showed disruptive tech wasn’t far behind. The next-most popular article was a roundup of 100 trailblazing cell and gene therapy companies with more than 80,000 views.…

Will the credit for future mega-blockbuster drugs, in some cases, go to a carefully-programmed AI discovery system connected to a “self-driving lab” that verified its potential? Certainly, AI is hyped, but so are potential profits of potentially AI-optimized drugs. The exploding volumes of scientific data highlight a shift often overlooked: what does “inventor” even mean when…

In 2023, generative AI (GenAI) entered the mainstream, capturing the attention of both the public and a growing number of biotechs. One of the most prominent Big Tech firms driving the trend is NVIDIA, which has forged alliances with biotechs ranging from Genentech, Recursion Pharmaceuticals and Evozyne, among others.  The momentum is continuing in early…

Historically, the pharma sector has exhibited a degree of caution in adopting emerging technologies such as cloud computing and AI, given the sector’s stringent regulatory requirements, data security concerns, and the complexities involved in integrating new systems into legacy processes. The situation is beginning to shift considerably with the COVID-19 pandemic, in particular, acting as…

Clinical-stage AI company Insilico Medicine has nominated a novel small molecule inhibitor known as ISM9274 as a preclinical candidate for cancer treatment. The company used its PandaOmics AI platform to analyze genomic data from more than 90 tumor types and identified CDK12 as a promising target for multiple cancers including triple-negative breast cancer, lung cancer,…

2023 is shaping up to be a pivotal year for promising biotech startups. While the sector faced multiple waves of layoffs, a silver lining is evident: the growing maturity of AI and genomics technologies is fueling a new wave of startup advances, especially in drug development. Amidst the backdrop of that turbulence, a select group…

Life sciences commercial services company Eversana is one of the latest to throw its hat into the generative AI ring. Tapping a partnership with Amazon Web Services (AWS), Everasana is focusing on developing generative AI technologies in the pharmaceutical industry. Also this month, the startup Synthetica Bio announced it would use generative AI to boost…

Researchers at Google’s DeepMind AI team have used AI to create advanced sorting algorithms, which although not specifically designed for drug discovery, could potentially benefit the field. Published in Nature, DeepMind’s latest work demonstrates the use of deep reinforcement learning to create more efficient routines for sorting and hashing. These algorithms find use in various…

Insilico Medicine has made a significant breakthrough with its AI-designed USP1 inhibitor, ISM3091. The US Food and Drug Administration (FDA) has accepted Insilico’s Investigational New Drug (IND) application for this promising drug, marking a significant milestone for AI-assisted drug discovery. “The FDA’s acceptance of our IND for ISM3091 signifies that the FDA recognizes its potential…