The hottest Drug Discovery Substack posts right now

And their main takeaways
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Top Science Topics

LabGenius - the long slow road to faster drug discovery

Rory’s Always On Newsletter • 535 implied HN points • 07 Feb 24
🔬 Science Biotech AI Drug Discovery Machine Learning Clinical Trials
  1. AI and machine learning are revolutionizing drug discovery by speeding up the identification of potential treatments, leading to big rewards for those in the industry.
  2. Building a successful biotech company requires patience, determination, and significant funding, often with a focus on research and development before revenue generation.
  3. Investors in biotech companies must be prepared for a long journey of constant failures and successes, akin to the process of drug discovery, with potential acquisitions being key outcomes.

Drug the Undruggable: Learn how Elsie Biotechnologies is advancing oligonucleotide therapeutics

LatchBio • 268 implied HN points • 07 Mar 24
🔬 Science Biotechnology Drug Discovery Webinar
  1. Elsie Biotechnologies uses computational design tools and high-throughput experimental approaches to develop drugs.
  2. Partnerships with large pharmaceutical companies like GSK can significantly impact the progress of smaller biotech companies.
  3. Oligonucleotide therapies represent the future of drug development, promising safer and more effective treatments.

Unbiased mapping of cereblon neosubstrate landscape by high-throughput proteomics

Axial • 14 implied HN points • 24 Nov 24
🔬 Science Biochemistry Proteomics Drug Discovery Molecular Biology Cancer Research
  1. A new method helps find powerful compounds that can target hard-to-reach proteins for drug development. These compounds are called molecular glue degraders, and they can help break down unwanted proteins in the body.
  2. The study found many new targets for these compounds, including some that haven't been studied much before. This expands the potential for developing new treatments for diseases like cancer.
  3. The researchers created a process that combines different scientific techniques, making it easier to design and improve these drugs. This means we might see more precise and effective medicines in the future.

DNA foundation modeling

Axial • 7 implied HN points • 10 Dec 24
🔬 Science Genetics Biotechnology Synthetic Biology Drug Discovery
  1. DNA foundation models are helping scientists analyze and understand the complex patterns in genetic data. They can lead to important discoveries in medicine and biology.
  2. Building these models is tough because DNA sequences are long and complicated. Special techniques are needed to process them efficiently and recognize important details.
  3. While these models have great potential, they need to be tested carefully to avoid mistakes. We also need to think about the ethical implications of using them in research and medicine.
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Vial: Reimagining Clinical Trials

The Century of Biology • 308 implied HN points • 30 Jul 23
🏥 Health & Wellness Clinical Trials Drug Discovery Medical Technology Healthcare system Biomedical Research
  1. Vial is working to reduce the cost of clinical trials by innovating new technology.
  2. Vial's Act I focuses on structuring, digitizing, and automating the clinical trial process to drive efficiency.
  3. Vial's Act II, Battery Bio, aims to revolutionize drug discovery by integrating software and advanced technologies in a vertically integrated approach.

Screenshots to Code Dataset, Multi Motion Brush in Gen-2, Open-source AGI, AI system that solves complex geometry problems, AI in drug discovery and more

AI Brews • 22 implied HN points • 19 Jan 24
🕹 Technology AI Open Source Code generation Drug Discovery Artificial General Intelligence
  1. Google DeepMind's AlphaGeometry AI system solves complex geometry problems at human Olympiad level.
  2. Codium AI's AlphaCodium improves code generation in LLMs with test-based iterative flow.
  3. Meta is working on open-source AGI and Microsoft Research made progress in AI-driven drug discovery.

Axial Discovery - Phenotypic screening

Discovery by Axial • 3 implied HN points • 27 Mar 23
🔬 Science Drug Discovery Genomics Drug Development Biomedical Research
  1. Phenotypic screening focuses on identifying specific physical or biochemical traits of interest for drug discovery.
  2. Key rules for effective phenotypic screens include selecting relevant cell models, designing disease-specific assays, and defining clinical-like endpoints.
  3. Advancing phenotypic screening requires improving throughput of complex models, developing translational disease models, enhancing proteomic tools, and integrating phenotypic and target-based screening.

Unfolding AlphaFold 3 🧬✨

Sector 6 | The Newsletter of AIM • 0 implied HN points • 11 May 24
🕹 Technology AI Biotechnology Data science Drug Discovery Machine Learning
  1. AlphaFold 3 is an advanced AI model that improves protein and molecule interaction predictions by 50%.
  2. This technology goes beyond just analyzing protein structures to help design drug compounds that can bind to proteins.
  3. The goal of this AI is to enhance drug discovery, making it easier to create effective treatments.