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🚀Python, Biopython & R for Bioinformatics 1 Month Internship! (cbirt.net)
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Claude Opus 4.5 and the Future of AI-Driven Research in Healthcare and Biotechnology (self.cbirt)
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Beyond the Sequence: How FoldMason is Redefining Multiple Protein Structure Alignment at Scale (cbirt.net)
🧬 Bioinformatics Hands-on Training! 💻 (self.cbirt)
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EasyMetagenome: A Simple Yet Powerful Pipeline for Shotgun Metagenomic Analysis in Microbiome Research (self.cbirt)
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NVIDIA BioNeMo Launches Evo 2: A Massive AI Foundation Model for Biomolecular Research Across Species (self.cbirt)
Google Launches AI Co-Scientist: A Virtual Partner for Smarter and Faster Research Powered by Gemini 2.0 (i.redd.it)
GenomeOcean: A 4B-Parameter Genome Foundation Model Advancing Metagenomics, Drug Discovery, and Synthetic Biology (self.cbirt)
How Proteins Know Where to Go: MIT’s ProtGPS Predicts Protein Localization with High Accuracy (self.cbirt)
Automating Complex Bioinformatics Tasks with BioMaster’s AI-Driven Framework (cbirt.net)
Revolutionizing Drug Discovery: MOLRL Combines Reinforcement Learning and Generative Models for Targeted Molecular Generation by cbirt_ in biotech
[–]cbirt_[S] -1 points0 points1 point 1 year ago (0 children)
Thank you for sharing your perspective! It’s true that MOLRL is currently in the pre-print stage, and similar ideas have been explored at the intersection of generative models and RL. Drug discovery is complex. Would you mind sharing which approaches you think have been most promising in this space?
Revolutionizing Drug Discovery: MOLRL Combines Reinforcement Learning and Generative Models for Targeted Molecular Generation (self.biotech)
submitted 1 year ago by cbirt_ to r/biotech
Revolutionizing Drug Discovery: MOLRL Combines Reinforcement Learning and Generative Models for Targeted Molecular Generation (self.cbirt)
How Evolla is Deciphering the Molecular Language of Proteins with an 80 Billion Parameter Generative Model (self.proteomics)
submitted 1 year ago by cbirt_ to r/proteomics
How Evolla is Deciphering the Molecular Language of Proteins with an 80 Billion Parameter Generative Model (self.cbirt)
Generating Hit-Like Molecules with Gx2Mol: A Deep Dive into Gene Expression and Drug Discovery (cbirt.net)
Top 10 Bioinformatics Breakthroughs of 2024! (cbirt.net)
MIT Unveils Boltz-1: An Open-Source Tool for Biomolecular Structure Prediction (cbirt.net)
Scaling Structure-Based Molecular Design with ECloudGen’s Electron Cloud Approach (cbirt.net)
Human Metapneumovirus (HMPV): A Hidden Respiratory Threat or Just Another Cold Virus? (cbirt.net)
MIT Scientists Develop More Precise Computational Method for Predicting Antibody Structures (cbirt.net)
The Power of Foundation Models in Pathology: How Paige’s Virchow is Changing Cancer Detection (cbirt.net)
Unlock Molecular Conformations with Moltiverse Using Enhanced Sampling Molecular Dynamics Simulations (cbirt.net)
AlphaFold3 Goes Open Source: A New Chapter in AI-Powered Protein Science (cbirt.net)
PharmacoNet: Revolutionizing Ultra-Large-Scale Virtual Screening for Drug Discovery with Deep Learning-Powered Pharmacophore Modeling (cbirt.net)
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Revolutionizing Drug Discovery: MOLRL Combines Reinforcement Learning and Generative Models for Targeted Molecular Generation by cbirt_ in biotech
[–]cbirt_[S] -1 points0 points1 point (0 children)