- Baker Lab • UW Institute for Protein Design🔍
- yangkky/Machine|learning|for|proteins🔍
- Progress at protein structure prediction🔍
- Introducing LLaMA🔍
- Unleashing the Power of AI in Drug Design🔍
- Diffusion models in protein structure and docking🔍
- Publications🔍
- Boost Alphafold2 Protein Structure Prediction with GPU|Accelerated ...🔍
An Open Science Benchmark for Protein Modeling and Design
Baker Lab • UW Institute for Protein Design
We believe in open collaborative science, and we're always looking for new ... structure prediction · all publications. Latest. Congrats Han! Oct 8, 2024 ...
yangkky/Machine-learning-for-proteins: Listing of papers ... - GitHub
Tuned Fitness Landscapes for Benchmarking Model-Guided Protein Design. Neil Thomas, Atish Agarwala, David Belanger, Yun S. Song, Lucy J. Colwell. Preprint, ...
ProtAgents: protein discovery via large language model multi-agent ...
Designing de novo proteins beyond those found in nature holds significant promise for advancements in both scientific and engineering ...
Progress at protein structure prediction, as seen in CASP15
... of open science. The availability of the code enabled a large set of protein structures to be experimentally solved, as the models were of sufficient ...
Introducing LLaMA: A foundational, 65-billion-parameter language ...
As part of Meta's commitment to open science, today we are publicly ... model designed to help researchers advance their work in this subfield of ...
Unleashing the Power of AI in Drug Design: Paving the Path to Open ...
... proteins in a hypothesis-free approach, following open science models. ... benchmarking. This is precisely what the SGC-Toronto, in ...
Diffusion models in protein structure and docking - Yim - 2024
Protein design conditions the protein generation on a single or multiple properties the protein must possess, for example, binding to another ...
and Bera, A. K. and King, N. P. and Baker, D. Robust deep learning–based protein sequence design using ProteinMPNN Journal Article. In: Science, 2022.
Boost Alphafold2 Protein Structure Prediction with GPU-Accelerated ...
He's designed and implemented various parallel algorithms and tools for bioinformatics and data science ... open science and open source. View all ...
Google DeepMind and Isomorphic Labs introduce AlphaFold 3 AI ...
... protein structure prediction. So far ... scientists to accelerate discovery across open questions in biology and new lines of research.
Docking, protein structure prediction, and benchmarking II. Large ... molecular design workflow and point out a few things. First ...
A Benchmark Dataset for Evaluating Practical Performance of Model ...
Protein structure prediction is an important issue in structural bioinformatics. In this process, model quality assessment (MQA), ...
Critical Assessment of Methods for Predicting the 3D Structure of ...
68. Kuhlman B, Bradley P. 2019. Advances in protein structure prediction and design.
Deep Learning in Protein Structural Modeling and Design: Patterns
Computational modeling allows scientists to predict the three-dimensional structure of proteins from genomes, predict properties or behavior of ...
Jointly Embedding Protein Structures and Sequences ... - YouTube
Open App. This content isn't available. Presented on August 14th 2024 ... Boston Protein Design and Modeling Club•4K views · 1:16:42. Go to ...
Reliable protein-protein docking with AlphaFold, Rosetta, and ... - eLife
2022Benchmarking AlphaFold for protein complex modeling reveals accuracy determinantsProtein Science 31https://doi.org/10.1002/pro.4379; 2 ...
Results of the Protein Engineering Tournament: An Open Science Benchmark for Protein Modeling and Design ...
Protein Structure Prediction · Scoring · Docking · Design · Mutational analysis · Ligand docking · Loop modeling · RNA ...
NeurIPS -- ProteinGym: Large-Scale Benchmarks for Protein Fitness ...
Scientific Lead. Research in AI for Protein Design. © 2021, Pascal Notin. Published with Wowchemy — the free, open source website builder that ...
Gordon Bell Prize Finalists Leverage Frontier to Advance Protein ...
Scientists used Frontier to train an ... Next steps include expanding the model to design new and more complex protein sequences.