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  PDeepPP is a hybrid protein language model designed to predict post-translational modification (PTM) sites, analyze biologically relevant features, and support a wide range of protein sequence analysis tasks. This repository serves as the central hub for accessing and exploring various specialized PDeepPP models, each fine-tuned for specific tasks, such as PTM site prediction, bioactivity analysis, and more.
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  ## Overview
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  PDeepPP integrates state-of-the-art transformer-based self-attention mechanisms with convolutional neural networks (CNNs) to capture both global and local features in protein sequences. By leveraging pretrained embeddings from `ESM` and incorporating modular architecture components, PDeepPP offers a robust framework for protein sequence analysis.
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  - [PDeepPP Methylation (Arginine)](https://huggingface.co/fondress/PDeepPP_Methylation-R)
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  - [PDeepPP SUMOylation](https://huggingface.co/fondress/PDeepPP_SUMOylation)
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  - [PDeepPP Ubiquitin](https://huggingface.co/fondress/PDeepPP_Ubiquitin)
 
 
 
 
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  #### Bioactivity Prediction
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  - [PDeepPP ACE](https://huggingface.co/fondress/PDeepPP_ACE)
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  - [PDeepPP BBP](https://huggingface.co/fondress/PDeepPP_BBP)
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  - [PDeepPP DPPIV](https://huggingface.co/fondress/PDeepPP_DPPIV)
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  - [PDeepPP Toxicity](https://huggingface.co/fondress/PDeepPP_Toxicity)
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- - [PDeepPP Antimalarial](https://huggingface.co/fondress/PDeepPP_Antimalarial-main)
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- - [PDeepPP Anticancer](https://huggingface.co/fondress/PDeepPP_Anticancer-main)
 
 
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  - [PDeepPP Antiviral](https://huggingface.co/fondress/PDeepPP_Antiviral)
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  - [PDeepPP Antioxidant](https://huggingface.co/fondress/PDeepPP_Antioxidant)
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  - [PDeepPP Antibacterial](https://huggingface.co/fondress/PDeepPP_Antibacterial)
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  - [PDeepPP Antifungal](https://huggingface.co/fondress/PDeepPP_Antifungal)
 
 
 
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  - [PDeepPP Bitter](https://huggingface.co/fondress/PDeepPP_bitter)
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  - [PDeepPP Umami](https://huggingface.co/fondress/PDeepPP_umami)
 
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  - [PDeepPP Quorum](https://huggingface.co/fondress/PDeepPP_Quorum)
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  - [PDeepPP TTCA](https://huggingface.co/fondress/PDeepPP_TTCA)
 
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  ---
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  ## Model Architecture
 
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  PDeepPP is a hybrid protein language model designed to predict post-translational modification (PTM) sites, analyze biologically relevant features, and support a wide range of protein sequence analysis tasks. This repository serves as the central hub for accessing and exploring various specialized PDeepPP models, each fine-tuned for specific tasks, such as PTM site prediction, bioactivity analysis, and more.
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+ The models in this repository can all be used on their corresponding datasets on GitHub ([https://github.com/fondress/PDeepPP])
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+ ---
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  ## Overview
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  PDeepPP integrates state-of-the-art transformer-based self-attention mechanisms with convolutional neural networks (CNNs) to capture both global and local features in protein sequences. By leveraging pretrained embeddings from `ESM` and incorporating modular architecture components, PDeepPP offers a robust framework for protein sequence analysis.
 
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  - [PDeepPP Methylation (Arginine)](https://huggingface.co/fondress/PDeepPP_Methylation-R)
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  - [PDeepPP SUMOylation](https://huggingface.co/fondress/PDeepPP_SUMOylation)
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  - [PDeepPP Ubiquitin](https://huggingface.co/fondress/PDeepPP_Ubiquitin)
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+ - [PDeepPP S-Palmitoylation](https://huggingface.co/fondress/PDeepPP_S-Palmitoylation)
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+ - [PDeepPP Hydroxyproline (P)](https://huggingface.co/fondress/PDeepPP_Hydroxyproline-P)
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+ - [PDeepPP Hydroxyproline (K)](https://huggingface.co/fondress/PDeepPP_Hydroxyproline-K)
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+ - [PDeepPP Pyrrolidone-carboxylic-acid (Q)](https://huggingface.co/fondress/PDeepPP_Pyrrolidone-carboxylic-acid-Q)
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  #### Bioactivity Prediction
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  - [PDeepPP ACE](https://huggingface.co/fondress/PDeepPP_ACE)
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  - [PDeepPP BBP](https://huggingface.co/fondress/PDeepPP_BBP)
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  - [PDeepPP DPPIV](https://huggingface.co/fondress/PDeepPP_DPPIV)
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  - [PDeepPP Toxicity](https://huggingface.co/fondress/PDeepPP_Toxicity)
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+ - [PDeepPP Antimalarial (Main)](https://huggingface.co/fondress/PDeepPP_Antimalarial-main)
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+ - [PDeepPP Antimalarial (Alternative)](https://huggingface.co/fondress/PDeepPP_Antimalarial-alternative)
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+ - [PDeepPP Anticancer (Main)](https://huggingface.co/fondress/PDeepPP_Anticancer-main)
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+ - [PDeepPP Anticancer (Alternative)](https://huggingface.co/fondress/PDeepPP_Anticancer-alternative)
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  - [PDeepPP Antiviral](https://huggingface.co/fondress/PDeepPP_Antiviral)
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  - [PDeepPP Antioxidant](https://huggingface.co/fondress/PDeepPP_Antioxidant)
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  - [PDeepPP Antibacterial](https://huggingface.co/fondress/PDeepPP_Antibacterial)
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  - [PDeepPP Antifungal](https://huggingface.co/fondress/PDeepPP_Antifungal)
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+ - [PDeepPP Antimicrobial](https://huggingface.co/fondress/PDeepPP_Antimicrobial)
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+ - [PDeepPP Anti-MRSA](https://huggingface.co/fondress/PDeepPP_Anti-MRSA)
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+ - [PDeepPP Antiparasitic](https://huggingface.co/fondress/PDeepPP_Antiparasitic)
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  - [PDeepPP Bitter](https://huggingface.co/fondress/PDeepPP_bitter)
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  - [PDeepPP Umami](https://huggingface.co/fondress/PDeepPP_umami)
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+ - [PDeepPP Neuro](https://huggingface.co/fondress/PDeepPP_neuro)
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  - [PDeepPP Quorum](https://huggingface.co/fondress/PDeepPP_Quorum)
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  - [PDeepPP TTCA](https://huggingface.co/fondress/PDeepPP_TTCA)
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  ---
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  ## Model Architecture