scholarly article | Q13442814 |
P8978 | DBLP publication ID | journals/bmcbi/TesoP14 |
P6179 | Dimensions Publication ID | 1011605118 |
P356 | DOI | 10.1186/1471-2105-15-16 |
P932 | PMC publication ID | 3929554 |
P698 | PubMed publication ID | 24428894 |
P5875 | ResearchGate publication ID | 259765618 |
P50 | author | Stefano Teso | Q3972741 |
Andrea Passerini | Q59192713 | ||
P2860 | cites work | Predicting adaptive evolution | Q73826101 |
The genetics of disulfide bond metabolism | Q77936221 | ||
The Protein Data Bank | Q24515306 | ||
The Universal Protein Resource (UniProt) | Q24558582 | ||
DISULFIND: a disulfide bonding state and cysteine connectivity prediction server | Q24680281 | ||
SPACE: a suite of tools for protein structure prediction and analysis based on complementarity and environment. | Q24812461 | ||
Improved prediction of signal peptides: SignalP 3.0 | Q27860548 | ||
Dictionary of protein secondary structure: pattern recognition of hydrogen-bonded and geometrical features | Q27860675 | ||
Mimicking cellular sorting improves prediction of subcellular localization | Q28243393 | ||
BaCelLo: a balanced subcellular localization predictor | Q28254573 | ||
Minimalist active-site redesign: teaching old enzymes new tricks | Q28298907 | ||
Sequence-based feature prediction and annotation of proteins | Q30002311 | ||
Bioinorganic motifs: towards functional classification of metalloproteins. | Q30327616 | ||
Improving the prediction of protein secondary structure in three and eight classes using recurrent neural networks and profiles. | Q30330078 | ||
The PredictProtein server. | Q30333040 | ||
Identifying cysteines and histidines in transition-metal-binding sites using support vector machines and neural networks. | Q30356403 | ||
A general framework for adaptive processing of data structures | Q31145717 | ||
Distill: a suite of web servers for the prediction of one-, two- and three-dimensional structural features of proteins. | Q33256426 | ||
Multi-level learning: improving the prediction of protein, domain and residue interactions by allowing information flow between levels | Q33490835 | ||
Disulfide bonds and protein folding. | Q33887218 | ||
Formation and transfer of disulphide bonds in living cells | Q34157680 | ||
Disulfide connectivity prediction using recursive neural networks and evolutionary information. | Q34307389 | ||
Predicting multiplex subcellular localization of proteins using protein-protein interaction network: a comparative study | Q34324690 | ||
SNAP: predict effect of non-synonymous polymorphisms on function | Q34631704 | ||
DBSubLoc: database of protein subcellular localization | Q34935250 | ||
Disulfide bonds as switches for protein function | Q35114294 | ||
MetalDetector: a web server for predicting metal-binding sites and disulfide bridges in proteins from sequence | Q37319378 | ||
Mapping PDB chains to UniProtKB entries. | Q38519738 | ||
PDBselect 1992-2009 and PDBfilter-select | Q42157302 | ||
Protein flexibility and intrinsic disorder | Q43104940 | ||
Improving the prediction of disulfide bonds in Eukaryotes with machine learning methods and protein subcellular localization. | Q45961782 | ||
Prediction of protein beta-residue contacts by Markov logic networks with grounding-specific weights. | Q45963607 | ||
A constructive algorithm for training cooperative neural network ensembles. | Q45964806 | ||
P275 | copyright license | Creative Commons Attribution 2.0 Generic | Q19125117 |
P6216 | copyright status | copyrighted | Q50423863 |
P304 | page(s) | 16 | |
P577 | publication date | 2014-01-15 | |
P1433 | published in | BMC Bioinformatics | Q4835939 |
P1476 | title | Joint probabilistic-logical refinement of multiple protein feature predictors | |
P478 | volume | 15 |
Q47246347 | Protein Subcellular Localization with Gaussian Kernel Discriminant Analysis and Its Kernel Parameter Selection. | cites work | P2860 |
Search more.