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BUSCA: an integrative web server to predict subcellular localization of proteins

Nucleic acids research, 2018-07, Vol.46 (W1), p.W459-W466

2018

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INPS-MD: a web server to predict stability of protein variants from sequence and structure

Bioinformatics (Oxford, England), 2016-08, Vol.32 (16), p.2542-2544

2016

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DeepSig: deep learning improves signal peptide detection in proteins

Bioinformatics, 2018-05, Vol.34 (10), p.1690-1696

2018

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DeepMito: accurate prediction of protein sub-mitochondrial localization using convolutional neural networks

Bioinformatics, 2020-01, Vol.36 (1), p.56-64

2020

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PredGPI: a GPI-anchor predictor

BMC bioinformatics, 2008-09, Vol.9 (1), p.392-392, Article 392

2008

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Machine learning solutions for predicting protein–protein interactions

Wiley interdisciplinary reviews. Computational molecular science, 2022-11, Vol.12 (6), p.e1618-n/a

2022

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A natural upper bound to the accuracy of predicting protein stability changes upon mutations

Bioinformatics (Oxford, England), 2019-05, Vol.35 (9), p.1513-1517

2019

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Functional annotations improve the predictive score of human disease-related mutations in proteins

Human mutation, 2009-08, Vol.30 (8), p.1237-1244

2009

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GraphDTA: predicting drug–target binding affinity with graph neural networks

Bioinformatics, 2021-05, Vol.37 (8), p.1140-1147

2021

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Testing the Capability of Embedding-Based Alignments on the GST Superfamily Classification: The Role of Protein Length

Molecules (Basel, Switzerland), 2024-09, Vol.29 (19), p.4616

2024

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ProteinBERT: a universal deep-learning model of protein sequence and function

Bioinformatics, 2022-04, Vol.38 (8), p.2102-2110

2022

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Solvent Accessibility of Residues Undergoing Pathogenic Variations in Humans: From Protein Structures to Protein Sequences

Frontiers in molecular biosciences, 2021-01, Vol.7, p.626363-626363

2021

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PhenPath: a tool for characterizing biological functions underlying different phenotypes

BMC genomics, 2019-07, Vol.20 (Suppl 8), p.548-548, Article 548

2019

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eDGAR: a database of Disease-Gene Associations with annotated Relationships among genes

BMC genomics, 2017-08, Vol.18 (Suppl 5), p.554-554, Article 554

2017

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BaCelLo: a balanced subcellular localization predictor

Bioinformatics, 2006-07, Vol.22 (14), p.e408-e416

2006

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Large-scale prediction and analysis of protein sub-mitochondrial localization with DeepMito

BMC bioinformatics, 2020-09, Vol.21 (Suppl 8), p.1-266, Article 266

2020

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TPpred3 detects and discriminates mitochondrial and chloroplastic targeting peptides in eukaryotic proteins

Bioinformatics, 2015-10, Vol.31 (20), p.3269-3275

2015

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sAMPpred-GAT: prediction of antimicrobial peptide by graph attention network and predicted peptide structure

Bioinformatics (Oxford, England), 2023-01, Vol.39 (1)

2023

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The Bologna Annotation Resource (BAR 3.0): improving protein functional annotation

Nucleic acids research, 2017-07, Vol.45 (W1), p.W285-W290

2017

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Genome Detective Coronavirus Typing Tool for rapid identification and characterization of novel coronavirus genomes

Bioinformatics, 2020-06, Vol.36 (11), p.3552-3555

2020

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Mapping human disease-associated enzymes into Reactome allows characterization of disease groups and their interactions

Scientific reports, 2022-10, Vol.12 (1), p.17963-17963, Article 17963

2022

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Functional and Structural Features of Disease-Related Protein Variants

International journal of molecular sciences, 2019-03, Vol.20 (7), p.1530

2019

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Correlating disease-related mutations to their effect on protein stability: A large-scale analysis of the human proteome

Human mutation, 2011-10, Vol.32 (10), p.1161-1170

2011

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Structure-aware protein–protein interaction site prediction using deep graph convolutional network

Bioinformatics, 2021-12, Vol.38 (1), p.125-132

2021

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Network-based prediction of drug–target interactions using an arbitrary-order proximity embedded deep forest

Bioinformatics, 2020-05, Vol.36 (9), p.2805-2812

2020

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BUSCA: an integrative web server to predict subcellular localization of proteins

INPS-MD: a web server to predict stability of protein variants from sequence and structure

DeepSig: deep learning improves signal peptide detection in proteins

DeepMito: accurate prediction of protein sub-mitochondrial localization using convolutional neural networks

PredGPI: a GPI-anchor predictor

Machine learning solutions for predicting protein–protein interactions

A natural upper bound to the accuracy of predicting protein stability changes upon mutations

Functional annotations improve the predictive score of human disease-related mutations in proteins

GraphDTA: predicting drug–target binding affinity with graph neural networks

Testing the Capability of Embedding-Based Alignments on the GST Superfamily Classification: The Role of Protein Length

ProteinBERT: a universal deep-learning model of protein sequence and function

Solvent Accessibility of Residues Undergoing Pathogenic Variations in Humans: From Protein Structures to Protein Sequences

PhenPath: a tool for characterizing biological functions underlying different phenotypes

eDGAR: a database of Disease-Gene Associations with annotated Relationships among genes

BaCelLo: a balanced subcellular localization predictor

Large-scale prediction and analysis of protein sub-mitochondrial localization with DeepMito

TPpred3 detects and discriminates mitochondrial and chloroplastic targeting peptides in eukaryotic proteins

sAMPpred-GAT: prediction of antimicrobial peptide by graph attention network and predicted peptide structure

The Bologna Annotation Resource (BAR 3.0): improving protein functional annotation

Genome Detective Coronavirus Typing Tool for rapid identification and characterization of novel coronavirus genomes

Mapping human disease-associated enzymes into Reactome allows characterization of disease groups and their interactions

Functional and Structural Features of Disease-Related Protein Variants

Correlating disease-related mutations to their effect on protein stability: A large-scale analysis of the human proteome

Structure-aware protein–protein interaction site prediction using deep graph convolutional network

Network-based prediction of drug–target interactions using an arbitrary-order proximity embedded deep forest

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