This repository contains two language model checkpoints: 1) The pretrained ProGen language model, 2) The ProGen model finetuned on five lysozyme familie
AbstractThe sequencing of genomes of several organisms and advances in high throughput technologies ...
With the recent advances in genomic, transcriptomic and proteomic technologies, it is now possible t...
Large-scale Protein Language Models (PLMs) have improved performance in protein prediction tasks, ra...
Deep-learning language models have shown promise in various biotechnological applications, including...
Novel protein sequences arise through mutation. These mutations may be deleterious, beneficial, or n...
The recent breakthroughs of Large Language Models (LLMs) in the context of natural language processi...
A broad and simple definition of `language' is a set of sequences constructed from a finite set of s...
Computational models starting from large ensembles of evolutionarily related protein sequences captu...
Abstract: With the exponential increase of the protein sequence databases overtime, multiple-sequenc...
Trained models, data, and code for "Large-scale design and refinement of stable proteins using seque...
As part of his master thesis at the Rostlab, which is located at the Technical University of Munich ...
Developing predictive models of multi-protein genetic systems to understand and optimize their behav...
This dataset includes; - Precomputed representation vectors of human proteins with various protein ...
The main goal of this master thesis is introduction and investigation of extended version of jumping...
Many life activities and key functions in organisms are maintained by different types of proteinS...
AbstractThe sequencing of genomes of several organisms and advances in high throughput technologies ...
With the recent advances in genomic, transcriptomic and proteomic technologies, it is now possible t...
Large-scale Protein Language Models (PLMs) have improved performance in protein prediction tasks, ra...
Deep-learning language models have shown promise in various biotechnological applications, including...
Novel protein sequences arise through mutation. These mutations may be deleterious, beneficial, or n...
The recent breakthroughs of Large Language Models (LLMs) in the context of natural language processi...
A broad and simple definition of `language' is a set of sequences constructed from a finite set of s...
Computational models starting from large ensembles of evolutionarily related protein sequences captu...
Abstract: With the exponential increase of the protein sequence databases overtime, multiple-sequenc...
Trained models, data, and code for "Large-scale design and refinement of stable proteins using seque...
As part of his master thesis at the Rostlab, which is located at the Technical University of Munich ...
Developing predictive models of multi-protein genetic systems to understand and optimize their behav...
This dataset includes; - Precomputed representation vectors of human proteins with various protein ...
The main goal of this master thesis is introduction and investigation of extended version of jumping...
Many life activities and key functions in organisms are maintained by different types of proteinS...
AbstractThe sequencing of genomes of several organisms and advances in high throughput technologies ...
With the recent advances in genomic, transcriptomic and proteomic technologies, it is now possible t...
Large-scale Protein Language Models (PLMs) have improved performance in protein prediction tasks, ra...
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