In last week’s newsletter, we cover all things on proteins inspired by Adaptyv Bio's protein design competition, from one-shot design of protein binders, sequence-structure co-generation for protein design, and more! Read below👇 https://lnkd.in/gSzMeQ2c
Portal
Biotechnology Research
Home of the TechBio community. LoGG/M2D2/CARE reading groups, blogs, events, and more.
About us
Portal is the home of the TechBio community. Tune into weekly reading groups, read blogs, join events, and discuss with others.
- Website
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https://portal.valencelabs.com/
External link for Portal
- Industry
- Biotechnology Research
- Company size
- 2-10 employees
- Type
- Nonprofit
Updates
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Next Monday at 12 pm ET, Ali Saberi will join LoGG host Hannes Stärk Stark to discuss LoRNASH, an RNA foundation model that learns how the nucleotide sequence of unspliced pre-mRNA dictates transcriptome architecture. 📄 Read the paper: https://lnkd.in/eHFUbVWQ ⏺️ Tune in live: https://lnkd.in/eRRhdkzc
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In last week’s newsletter, we covered building virtual cells, mapping smell with deep learning, understanding protein sequence landscapes, and more! Read below👇 https://lnkd.in/eyP87Q4J
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Next Monday at 12 pm ET, Carles Domingo-Enrich will join LoGG host Hannes Stärk to discuss stochastic optimal control (SOC) and a new algorithm named Adjoint Matching which outperforms existing SOC algorithms. 📄 Read the paper: https://lnkd.in/eb935DPm ⏺️ Tune in live: https://lnkd.in/eRRhdkzc
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In this week’s newsletter, we covered platforms that make protein modelling more accessible to biologists, LLMs for single-cell data analysis, evaluation frameworks for protein models, and more! Read below 👇 https://lnkd.in/eD7mABkd
Portal Weekly #62: evaluating protein foundation models, single-cell data, making protein modeling accessible, and more.
m2d2.substack.com
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Next Monday at 12pm ET, Rob Brekelmans will join LoGG host Hannes Stärk to discuss Sequential Monte Carlo (SMC) for probabilistic inference problems. 📄 Read the paper: https://lnkd.in/exmX-Dha ⏺️ Tune in live: https://lnkd.in/eRRhdkzc
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In this week’s newsletter, we explore conversational molecular design using natural language to describe and modify target molecules, cold start problems in predicting drug-target interactions, expanded PROTAC databases, and more! Read below👇 https://lnkd.in/ewkZTHbK
Portal Weekly #61: drugging the "undrugable", cold start problems in drug discovery, interactive molecular discovery, and more.
m2d2.substack.com
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📅 On the last day of the ML4DD Summer School, we discussed protein folding & design, the applications of LLMs in drug discovery, open-source initiatives, and more. 🎥 Watch the recordings below 👇 LLMs in Drug Discovery by Andres M Bran (he/him) https://lnkd.in/eKDna9Ez Protein Folding & Design by Alexander Tong https://lnkd.in/ec7x2UPa Open-Source Initiatives & Benchmarking Efforts by Karmen Čondić-Jurkić https://lnkd.in/expHVFQX
Day 5 - LLMs in Drug Discovery | Andres M Bran
https://www.youtube.com/
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In last week’s newsletter, we explore the power of Claude 3 in small molecule discovery, dynamic protein datasets, transformer-based foundational DNA language models capable of handling input lengths up to 36,000 base pairs, and more! Read below👇 https://lnkd.in/ghcf6dkz
Portal Weekly #60: LLMs for small molecule design, integrating dynamic data with PDB, open-source foundation models for DNA, and more.
m2d2.substack.com
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📅 All of the lecture recordings and lab notebooks from Day 4 of the ML4DD summer school are below. Day 4 was focused on target discovery and deconvolution. Topics covered: phenomics and multi-modality in DD, causal discovery, representation learning, and more. Watch now👇 Phenomics in Drug Discovery by Anne Carpenter https://lnkd.in/ewMUj8-Q Multi-Modal Omics & AI by Sebastien Lemieux https://lnkd.in/e6pvs4yQ Causal Discovery & Representation Learning by Jason Hartford https://lnkd.in/e2uXMUhG Modeling Population Dynamics by Charlotte Bunne https://lnkd.in/erA7GQuY Lab 4: Target Deconvolution Explanation by Alisandra Denton and Kristina Ulicna, PhD https://lnkd.in/emgeJ2aE Follow on Github: https://lnkd.in/ezwHfhYa
Day 4 - Phenomics in Drug Discovery: Microscopy and Machine Learning | Anne Carpenter
https://www.youtube.com/