Conrad young @_RadBio_
HK🇭🇰 | Year 3 HKU BSc(Bioinformatics) 👨💻 Hong Kong Joined December 2016-
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In the lead at the break. Let's keep bringing the energy, Gunners 👊
New online! Computational design of sequence-specific DNA-binding proteins bit.ly/461bxaB
An AI system to help scientists write expert-level empirical software 1. Researchers have developed an AI system that can create expert-level scientific software to maximize a quality metric. The system uses a Large Language Model (LLM) and Tree Search (TS) to systematically…
Drug discovery is slow, expensive, and uncertain. On average, it takes 12–15 years and billions of dollars to bring a new therapy to patients. Out of thousands of molecules, maybe one makes it all the way. This is where computational methods like Molecular Docking are changing…
Drug discovery is slow, expensive, and uncertain. On average, it takes 12–15 years and billions of dollars to bring a new therapy to patients. Out of thousands of molecules, maybe one makes it all the way. This is where computational methods like Molecular Docking are changing…
anybody in AI x bio who wants to know what industrial drug discovery is actually about should read this briefing by Treeline Bio (announced $200m additional capital yesterday, have raised $1.1bn total) led by serious drug hunters Josh Bilenker and Jeff Engelman link in…
Curious what folks who work on iPSCs think of the @OpenAI x @RetroBio_ [*] collab to design efficient Yamanaka factors using a fine-tuned GPT-4o. I wonder to what degree the designs integrate all the previously published work on sequence properties of improved Sox2/Klf proteins
Online now! Code to complex: AI-driven de novo binder design dlvr.it/TMpWry
Boltzina: Efficient and Accurate Virtual Screening via Docking-Guided Binding Prediction with Boltz-2 1. Boltzina is a novel framework that combines the high accuracy of Boltz-2 with the speed of AutoDock Vina for virtual screening in drug discovery. It achieves this by directly…
🎙️ Introducing TechBio Talks – a new podcast hosted by @RecursionChris and Najat Khan that offers candid conversations with the scientists, founders, and investors on the frontlines of the AI transformation of drug discovery. 💥 TechBio Talks kicks off after Labor Day –…
Have protein–ligand cofolding methods moved beyond memorization? It is well recognized in AI research that many models excel at memorizing patterns from training data, but struggle to generalize to truly novel cases. This limitation is especially consequential in drug discovery,…
For protein science/bioinformatics: MMseqs Diamond FoldSeek BioTite ColabFold BioPython pdb-tools Seqkit hh-suite IQ-Tree MAFFT TMAlign PyRosetta (Just released in 2024) DSSP BLAST ProteinMPNN RFDiff AlphaFold2 ESM BindCraft RDKit Boltz HMMER GROMACS Which others?
For protein science/bioinformatics: MMseqs Diamond FoldSeek BioTite ColabFold BioPython pdb-tools Seqkit hh-suite IQ-Tree MAFFT TMAlign PyRosetta (Just released in 2024) DSSP BLAST ProteinMPNN RFDiff AlphaFold2 ESM BindCraft RDKit Boltz HMMER GROMACS Which others?
🚨 new paper alert 🚨 We present a method for designing protein nanoparticles with two unique faces that can bring together distinct biological targets at controlled distances! This project was led by Dr. Sanela Rankovic is out now in Nature Materials: tinyurl.com/yj8t476d
Multi-state Protein Design with DynamicMPNN 1. DynamicMPNN is a groundbreaking inverse folding model that generates protein sequences compatible with multiple conformations. It outperforms ProteinMPNN by up to 13% on structure-normalized RMSD, demonstrating significant…
Generative Design of High-Affinity Peptides Using BindCraft 1. A groundbreaking study leverages BindCraft, an AlphaFold-based platform, to design high-affinity peptide ligands directly from protein structures. This approach marks a significant step forward in de novo peptide…
In the latest issue! The structure of human sweetness dlvr.it/TM6Tpg
Thrilled to share our new paper in @ScienceMagazine! 💥 We developed a computational platform to design tiny 'minibinders' from scratch that can guide T cells to kill cancer cells. This is proof-of-concept for targeting intracellular cancer antigens with a new modality! 🎯
🤯Three (!!!) new papers today in @ScienceMagazine on the application of generative AI for the de novo design of peptide/HLA binding molecules! Completely unique 3D structure and binding mode compared with natural TCRs and TCR mimics! Links to papers 👇
Cold tumors–cancers with little to no immune cell infiltration–represent one of oncology’s toughest challenges. These tumors evade the immune system, leaving patients with limited treatment hope. What if we could turn cold tumors “hot”? Published in Springer Nature…
⚛️Quantum meets protein design🧬 QOBRA = a variational quantum auto‑encoder w/ 27 trainable angles + 9 qubits ... and still designs Ca²⁺/Mg²⁺/Zn²⁺ proteins that Chai‑1 + MD say will fold & bind
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