PolyTox-Platform

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zhangzilong@hainanu.edu.cn
feifeicui@hainanu.edu.cn

ACP(Anticancer Peptide)

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ACP-ESM2

A comprehensive method for anticancer peptide prediction utilizing a pre-trained deep learning model.

CACPP

CACPP is a deep learning model combining convolutional neural networks and contrastive learning to efficiently and accurately predict anticancer peptides.

Other Model

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ATP(Anti-tubercular peptide)

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Hyb_SEnc

This tool utilizes a hybrid feature and stacked ensemble learning model (Hyb_SEnc) to efficiently predict anti-tuberculosis peptides, achieving prediction accuracies of 94.68% on the AntiTb_MD dataset and 95.74% on the AntiTb_RD dataset.

Other Model

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CPP(Cell Penetrating Peptide)

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SiameseCPP

SiameseCPP is a deep learning framework that uses a Siamese neural network and contrastive learning to predict cell-penetrating peptides (CPPs) with high accuracy and generalization ability.

Other Model

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BP(Bitter Peptide)

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iBitter-GRE

iBitter-GRE is a tool that improves bitter peptide identification using ESM-2, traditional descriptors, and a stacking approach for higher accuracy.

Other Model

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AHP(Antihypertensive peptide)

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pLM4ACE

This tool uses a protein language model with ESM-2 embeddings to predict peptides with strong ACE inhibitory activity, achieving superior performance over traditional methods.

Other Model

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AVP(Antiviral peptide)

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Stack-AVP

Stack-AVP is a stacked ensemble learning-based tool designed for rapid and accurate identification of antiviral peptides (AVPs), significantly enhancing prediction performance.

Other Model

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AMP(Antimicrobial Peptide)

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Ensemble

This tool integrates deep learning and statistical learning methods to screen peptides with antimicrobial activity

PepNet

PepNet is an interpretable neural network that predicts AMPs and AIPs by leveraging a pretrained protein language mode

Other Model

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AIP(Anti-inflammatory Peptide)

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PepNet

PepNet is an interpretable neural network that predicts AIPs and AMPs by leveraging a pretrained protein language mode

Other Model

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ADP(Antidiabetic Peptide)

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AntiT2DMP-Pred

AntiT2DMP-Pred is a machine learning-based tool with high accuracy and excellent performance.

Other Model

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SP(Signal Peptide)

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SP

SignalP 6.0 is a machine learning model that detects all five types of signal peptides and is applicable to metagenomic data.

Other Model

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Toxicity(Toxic Peptide)

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ToxIBTL

ToxIBTL is a deep learning-based framework that predicts the toxicity of peptides and proteins using the information bottleneck principle and transfer learning.

Other Model

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This is a free online platform, and we hope you can find the functions you need here.

Hainan University, CN

zhangzilong@hainanu.edu.cn
feifeicui@hainanu.edu.cn

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ACP(Anticancer Peptide)

ACP-ESM2

CACPP

Other Model

ATP(Anti-tubercular peptide)

Hyb_SEnc

Other Model

CPP(Cell Penetrating Peptide)

SiameseCPP

Other Model

BP(Bitter Peptide)

iBitter-GRE

Other Model

AHP(Antihypertensive peptide)

pLM4ACE

Other Model

AVP(Antiviral peptide)

Stack-AVP

Other Model

AMP(Antimicrobial Peptide)

Ensemble

PepNet

Other Model

AIP(Anti-inflammatory Peptide)

PepNet

Other Model

ADP(Antidiabetic Peptide)

AntiT2DMP-Pred

Other Model

SP(Signal Peptide)

SP

Other Model

Toxicity(Toxic Peptide)

ToxIBTL

Other Model

PolyTox-Platform

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