Lista de obras - Castrense Savojardo - Dominio Público Uruguay

Are machine learning based methods suited to address complex biological problems? Lessons from CAGI-5 challenges

artículo científico publicado en 2019

Assessing computational predictions of the phenotypic effect of cystathionine-beta-synthase variants

artículo científico publicado en 2019

Assessing predictions of the impact of variants on splicing in CAGI5

scientific article published on 19 August 2019

Assessment of blind predictions of the clinical significance of BRCA1 and BRCA2 variants

scientific article published on 23 August 2019

Assessment of methods for predicting the effects of PTEN and TPMT protein variants

scientific article published on 03 July 2019

Assessment of predicted enzymatic activity of α-N-acetylglucosaminidase variants of unknown significance for CAGI 2016

artículo científico publicado en 2019

BCov: a method for predicting β-sheet topology using sparse inverse covariance estimation and integer programming.

artículo científico publicado en 2013

BETAWARE: a machine-learning tool to detect and predict transmembrane beta-barrel proteins in prokaryotes

artículo científico publicado en 2013

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

artículo científico publicado en 2018

Computer-based prediction of mitochondria-targeting peptides

artículo científico publicado en 2015

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

artículo científico publicado en 2020

DeepSig: deep learning improves signal peptide detection in proteins

artículo científico publicado en 2018

Evaluating the predictions of the protein stability change upon single amino acid substitutions for the FXN CAGI5 challenge

scientific article published on 12 July 2019

Functional and Structural Features of Disease-Related Protein Variants. ⬇️

artículo científico publicado en 2019

Grammatical-Restrained Hidden Conditional Random Fields for Bioinformatics applications

artículo científico publicado en 2009

Highlighting Human Enzymes Active in Different Metabolic Pathways and Diseases: The Case Study of EC 1.2.3.1 and EC 2.3.1.9.

artículo científico publicado en 2020

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

artículo científico publicado en 2016

INPS: predicting the impact of non-synonymous variations on protein stability from sequence.

artículo científico publicado en 2015

ISPRED4: interaction sites PREDiction in protein structures with a refining grammar model.

artículo científico publicado en 2017

Improving the detection of transmembrane β-barrel chains with N-to-1 extreme learning machines ⬇️

artículo científico publicado el 3 de octubre de 2011

Improving the prediction of disulfide bonds in Eukaryotes with machine learning methods and protein subcellular localization.

artículo científico publicado en 2011

Large scale analysis of protein stability in OMIM disease related human protein variants

artículo científico publicado en 2016

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

scientific article published on 16 September 2020

Machine-Learning Methods to Predict Protein Interaction Sites in Folded Proteins

scholarly article by Castrense Savojardo et al published 2012 in Lecture Notes in Computer Science

MemPype: a pipeline for the annotation of eukaryotic membrane proteins

artículo científico publicado en 2011

On the biases in predictions of protein stability changes upon variations: the INPS test case

article

Performance of computational methods for the evaluation of pericentriolar material 1 missense variants in CAGI-5

scientific article published on 17 August 2019

Prediction of disulfide connectivity in proteins with machine-learning methods and correlated mutations. ⬇️

artículo científico publicado en 2013

Prediction of the Bonding State of Cysteine Residues in Proteins with Machine-Learning Methods

scholarly article by Castrense Savojardo et al published 2011 in Lecture Notes in Computer Science

SChloro: directing Viridiplantae proteins to six chloroplastic sub-compartments

artículo científico publicado en 2017

TPpred2: improving the prediction of mitochondrial targeting peptide cleavage sites by exploiting sequence motifs.

artículo científico publicado en 2014

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

artículo científico publicado en 2015

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

artículo científico publicado en 2024

The prediction of organelle-targeting peptides in eukaryotic proteins with Grammatical-Restrained Hidden Conditional Random Fields.

artículo científico publicado en 2013

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

artículo científico

Lista de obras de Castrense Savojardo

Are machine learning based methods suited to address complex biological problems? Lessons from CAGI-5 challenges

Assessing computational predictions of the phenotypic effect of cystathionine-beta-synthase variants

Assessing predictions of the impact of variants on splicing in CAGI5

Assessment of blind predictions of the clinical significance of BRCA1 and BRCA2 variants

Assessment of methods for predicting the effects of PTEN and TPMT protein variants

Assessment of predicted enzymatic activity of α-N-acetylglucosaminidase variants of unknown significance for CAGI 2016

BCov: a method for predicting β-sheet topology using sparse inverse covariance estimation and integer programming.

BETAWARE: a machine-learning tool to detect and predict transmembrane beta-barrel proteins in prokaryotes

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

Computer-based prediction of mitochondria-targeting peptides

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

DeepSig: deep learning improves signal peptide detection in proteins

Evaluating the predictions of the protein stability change upon single amino acid substitutions for the FXN CAGI5 challenge

Functional and Structural Features of Disease-Related Protein Variants. ⬇️

Grammatical-Restrained Hidden Conditional Random Fields for Bioinformatics applications

Highlighting Human Enzymes Active in Different Metabolic Pathways and Diseases: The Case Study of EC 1.2.3.1 and EC 2.3.1.9.

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

INPS: predicting the impact of non-synonymous variations on protein stability from sequence.

ISPRED4: interaction sites PREDiction in protein structures with a refining grammar model.

Improving the detection of transmembrane β-barrel chains with N-to-1 extreme learning machines ⬇️

Improving the prediction of disulfide bonds in Eukaryotes with machine learning methods and protein subcellular localization.

Large scale analysis of protein stability in OMIM disease related human protein variants

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

Machine-Learning Methods to Predict Protein Interaction Sites in Folded Proteins

MemPype: a pipeline for the annotation of eukaryotic membrane proteins

On the biases in predictions of protein stability changes upon variations: the INPS test case

Performance of computational methods for the evaluation of pericentriolar material 1 missense variants in CAGI-5

Prediction of disulfide connectivity in proteins with machine-learning methods and correlated mutations. ⬇️

Prediction of the Bonding State of Cysteine Residues in Proteins with Machine-Learning Methods

SChloro: directing Viridiplantae proteins to six chloroplastic sub-compartments

TPpred2: improving the prediction of mitochondrial targeting peptide cleavage sites by exploiting sequence motifs.

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

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

The prediction of organelle-targeting peptides in eukaryotic proteins with Grammatical-Restrained Hidden Conditional Random Fields.

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