| Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset | 0 | 0.34 | 2022 |
| Dna Sequence Symmetries From Randomness: The Origin Of The Chargaff'S Second Parity Rule | 0 | 0.34 | 2021 |
| Calibrating Variant-Scoring Methods For Clinical Decision Making | 0 | 0.34 | 2021 |
| On The Critical Review Of Five Machine Learning-Based Algorithms For Predicting Protein Stability Changes Upon Mutation | 0 | 0.34 | 2021 |
| Insight into the protein solubility driving forces with neural attention. | 0 | 0.34 | 2020 |
| On the biases in predictions of protein stability changes upon variations: the INPS test case. | 0 | 0.34 | 2019 |
| DDGun: an untrained method for the prediction of protein stability changes upon single and multiple point variations. | 0 | 0.34 | 2019 |
| Fido-SNP: the first webserver for scoring the impact of single nucleotide variants in the dog genome. | 0 | 0.34 | 2019 |
| A natural upper bound to the accuracy of predicting protein stability changes upon mutations. | 0 | 0.34 | 2019 |
| Improving the prediction of cardiovascular risk with machine-learning and DNA methylation data | 0 | 0.34 | 2019 |
| DeepSig: deep learning improves signal peptide detection in proteins. | 4 | 0.39 | 2018 |
| Busca: An Integrative Web Server To Predict Subcellular Localization Of Proteins | 1 | 0.34 | 2018 |
| ISPRED4: interaction sites PREDiction in protein structures with a refining grammar model. | 3 | 0.40 | 2017 |
| PhD-SNPg: a webserver and lightweight tool for scoring single nucleotide variants. | 1 | 0.40 | 2017 |
| NET-GE: a web-server for NETwork-based human gene enrichment. | 0 | 0.34 | 2016 |
| INPS-MD: a web server to predict stability of protein variants from sequence and structure. | 4 | 0.46 | 2016 |
| TPpred3 detects and discriminates mitochondrial and chloroplastic targeting peptides in eukaryotic proteins | 4 | 0.45 | 2015 |
| AlignBucket: a tool to speed up ‘all-against-all’ protein sequence alignments optimizing length constraints | 1 | 0.35 | 2015 |
| TPpred2: improving the prediction of mitochondrial targeting peptide cleavage sites by exploiting sequence motifs. | 1 | 0.37 | 2014 |
| Protein Sequence Annotation by Means of Community Detection | 0 | 0.34 | 2013 |
| Extended and Robust Protein Sequence Annotation over Conservative Nonhierarchical Clusters: The Case Study of the ABC Transporters | 0 | 0.34 | 2013 |
| Prediction of disulfide connectivity in proteins with machine-learning methods and correlated mutations. | 12 | 0.47 | 2013 |
| BCov: a method for predicting β-sheet topology using sparse inverse covariance estimation and integer programming. | 10 | 0.59 | 2013 |
| The prediction of organelle-targeting peptides in eukaryotic proteins with Grammatical-Restrained Hidden Conditional Random Fields. | 5 | 0.53 | 2013 |
| How to inherit statistically validated annotation within BAR+ protein clusters. | 13 | 0.57 | 2013 |
| BETAWARE: a machine-learning tool to detect and predict transmembrane beta-barrel proteins in prokaryotes. | 12 | 0.58 | 2013 |
| SUS-BAR: a database of pig proteins with statistically validated structural and functional annotation. | 1 | 0.35 | 2013 |
| Community Detection within Clusters Helps Large Scale Protein Annotation - Preliminary Results of Modularity Maximization for the BAR+ Database. | 0 | 0.34 | 2013 |
| BAR-PLUS: the Bologna Annotation Resource Plus for functional and structural annotation of protein sequences. | 8 | 0.74 | 2011 |
| Aspicdb: A Database Of Annotated Transcript And Protein Variants Generated By Alternative Splicing | 8 | 0.70 | 2011 |
| Improving the prediction of disulfide bonds in Eukaryotes with machine learning methods and protein subcellular localization. | 11 | 0.56 | 2011 |
| Blurring contact maps of thousands of proteins: what we can learn by reconstructing 3D structure. | 9 | 0.52 | 2011 |
| Disulfide Connectivity Prediction with Extreme Learning Machines. | 0 | 0.34 | 2011 |
| Machine-Learning Methods to Predict Protein Interaction Sites in Folded Proteins | 1 | 0.35 | 2011 |
| MemPype: a pipeline for the annotation of eukaryotic membrane proteins. | 0 | 0.34 | 2011 |
| Improving the detection of transmembrane β-barrel chains with N-to-1 extreme learning machines. | 8 | 0.52 | 2011 |
| Prediction of the bonding state of cysteine residues in proteins with machine-learning methods | 2 | 0.41 | 2010 |
| Fast overlapping of protein contact maps by alignment of eigenvectors | 10 | 0.60 | 2010 |
| Improving coiled-coil prediction with evolutionary information | 0 | 0.34 | 2009 |
| Progress and challenges in predicting protein-protein interaction sites. | 48 | 1.73 | 2009 |
| CCHMM_PROF: a HMM-based coiled-coil predictor with evolutionary information. | 6 | 0.55 | 2009 |
| Grammatical-Restrained Hidden Conditional Random Fields for Bioinformatics applications. | 9 | 0.72 | 2009 |
| On The Reconstruction Of Three-Dimensional Protein Structures From Contact Maps | 1 | 0.35 | 2009 |
| A graph theoretic approach to protein structure selection | 0 | 0.34 | 2009 |
| On the upper bound of the prediction accuracy of residue contacts in proteins with correlated mutations: the case study of the similarity matrices | 0 | 0.34 | 2009 |
| Prediction of Protein-Protein Interacting Sites: How to Bridge Molecular Events to Large Scale Protein Interaction Networks | 2 | 0.37 | 2009 |
| A New Protein Representation Based on Fragment Contacts: Towards an Improvement of Contact Maps Predictions | 0 | 0.34 | 2008 |
| FT-COMAR: fault tolerant three-dimensional structure reconstruction from protein contact maps. | 13 | 0.98 | 2008 |
| A three-state prediction of single point mutations on protein stability changes. | 61 | 1.35 | 2008 |
| Predicting protein thermostability changes from sequence upon multiple mutations. | 7 | 0.59 | 2008 |
