Name: CNP team
Type: User
Company: Center for Interdisciplinary Marine and Environmental Research (CIIMAR)
Bio: Chemistry and biology of cyanobacterial natural product, Leão Laboratory. Github and https://www.faal-pred.ciimar.com created by Leandro Mattos Pereira.
Location: CIIMAR. Terminal de Cruzeiros de Leixões
Blog: https://leaolab.wixsite.com/leaolab
CNP team's Projects
This is a clean version of CORASON that works with genomes annotated in RAST and with genomes annotated with the tools in the FUNGIT repository.
List of papers about Proteins Design using Deep Learning
Multi-target de novo molecular generator conditioned on AlphaFold latent embeddings.
Official release of the ProGen models
Comparing augmentation techniques for protein sequence classification tasks
Complex-based Ligand-Binding Proteins Redesign by Equivariant Diffusion-based Generative Models
Official repository for the ProteinGym benchmarks
Code for the ProteinMPNN paper
[ICML-23 ORAL] ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts
ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.
Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data
A collective list of free APIs
Kolmogorov Arnold Networks
Open-source foundation of the user-sponsored PyMOL molecular visualization system.
Protein hallucination and inpainting with RoseTTAFold
Code for running RFdiffusion
Run_dbcan V4, using genomes/metagenomes/proteomes of any assembled organisms (prokaryotes, fungi, plants, animals, viruses) to search for CAZymes.
Implementation for SE(3) diffusion model with application to protein backbone generation
Foundational Models for State-of-the-Art Speech and Text Translation
Repository for StripedHyena-7B, a state-of-the-art beyond Transformer model
The SYNY pipeline investigates synteny between species by reconstructing protein clusters from gene pairs.
Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package.
Foundation Architecture for (M)LLMs
Uni-Dock: a GPU-accelerated molecular docking program