| Nome |
# |
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Signature of Pareto optimization in the Escherichia coli proteome, file e27ce42e-7ca3-2581-e053-d805fe0acbaa
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396
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A natural upper bound to the accuracy of predicting protein stability changes upon mutations, file e27ce42d-f5a9-2581-e053-d805fe0acbaa
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218
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Prediction of disulfide connectivity in proteins with machine-learning methods and correlated mutations, file e27ce42d-9838-2581-e053-d805fe0acbaa
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185
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Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset, file e27ce433-fde9-2581-e053-d805fe0acbaa
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172
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BUSCA: An integrative web server to predict subcellular localization of proteins, file e27ce42e-4abf-2581-e053-d805fe0acbaa
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155
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DeepSig: Deep learning improves signal peptide detection in proteins, file e27ce42d-af09-2581-e053-d805fe0acbaa
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141
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Insight into the protein solubility driving forces with neural attention, file e27ce430-bde7-2581-e053-d805fe0acbaa
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121
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How to inherit statistically validated annotation within BAR+ protein clusters, file e27ce42d-9835-2581-e053-d805fe0acbaa
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112
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Fido-SNP: the first webserver for scoring the impact of single nucleotide variants in the dog genome, file e27ce42e-3435-2581-e053-d805fe0acbaa
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112
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BAR-PLUS: the Bologna Annotation Resource Plus for functional and structural annotation of protein sequences, file e27ce42d-9658-2581-e053-d805fe0acbaa
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110
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PhD-SNPg: a webserver and lightweight tool for scoring single nucleotide variants, file e27ce42d-9655-2581-e053-d805fe0acbaa
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106
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SUS-BAR: a database of pig proteins with statistically validated structural and functional annotation, file e27ce42d-9839-2581-e053-d805fe0acbaa
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105
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Blurring contact maps of thousands of proteins: what we can learn by reconstructing 3D structure, file e27ce42d-9f27-2581-e053-d805fe0acbaa
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103
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On the effect of protein conformation diversity in discriminating among neutral and disease related single amino acid substitutions, file e27ce42d-9654-2581-e053-d805fe0acbaa
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98
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ASPicDB: a database of annotated transcript and protein variants generated by alternative splicing, file e27ce42d-9656-2581-e053-d805fe0acbaa
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96
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WS-SNPs&GO: a web server for predicting the deleterious effect of human protein variants using functional annotation, file e27ce42d-9834-2581-e053-d805fe0acbaa
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96
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INPS-MD: A web server to predict stability of protein variants from sequence and structure, file e27ce433-fb1a-2581-e053-d805fe0acbaa
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92
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MemPype: a pipeline for the annotation of eukaryotic membrane proteins, file e27ce42d-9f28-2581-e053-d805fe0acbaa
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90
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ACDC-NN: a deep learning predictor of protein stability change upon mutation., file 34eabe50-b108-4d5d-98b9-cbf2329b9f61
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89
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Predicting cancer-associated germline variations in proteins, file e27ce42d-983b-2581-e053-d805fe0acbaa
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89
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SChloro: directing Viridiplantae proteins to six chloroplastic sub-compartments, file e27ce42d-9f23-2581-e053-d805fe0acbaa
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89
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Limitations and challenges in protein stability prediction upon genome variations: towards future applications in precision medicine, file e27ce430-3cf6-2581-e053-d805fe0acbaa
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87
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Large scale analysis of protein stability in OMIM disease related human protein variants, file e27ce42d-9836-2581-e053-d805fe0acbaa
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86
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DDGun: An untrained method for the prediction of protein stability changes upon single and multiple point variations, file e27ce42e-b857-2581-e053-d805fe0acbaa
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86
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Network measures for protein folding state discrimination, file e27ce42d-9837-2581-e053-d805fe0acbaa
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84
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On the Upper Bounds of the Real-Valued Predictions, file e27ce42e-610c-2581-e053-d805fe0acbaa
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84
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Identification of novel circulating microRNAs in advanced heart failure by next-generation sequencing, file e27ce432-76b5-2581-e053-d805fe0acbaa
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83
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An interpretable low-complexity machine learning framework for robust exome-based in-silico diagnosis of Crohn’s disease patients, file e27ce431-4018-2581-e053-d805fe0acbaa
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82
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NET-GE: a novel NETwork-based Gene Enrichment for detecting biological processes associated to Mendelian diseases, file e27ce42d-9f24-2581-e053-d805fe0acbaa
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81
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DNA sequence symmetries from randomness: the origin of the Chargaff's second parity rule, file e27ce431-2402-2581-e053-d805fe0acbaa
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79
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Seqfu: A suite of utilities for the robust and reproducible manipulation of sequence files, file e27ce431-e36f-2581-e053-d805fe0acbaa
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60
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Protein Stability Perturbation Contributes to the Loss of Function in Haploinsufficient Genes, file e27ce431-ac61-2581-e053-d805fe0acbaa
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54
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Context dependency of nucleotide probabilities and variants in human DNA, file e27ce434-c2c8-2581-e053-d805fe0acbaa
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53
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Current cancer driver variant predictors learn to recognize driver genes instead of functional variants, file e27ce431-ca54-2581-e053-d805fe0acbaa
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51
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A deep-learning sequence-based method to predict protein stability changes upon genetic variations, file e27ce432-49a4-2581-e053-d805fe0acbaa
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51
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Multi-Event Survival Prediction for Amyotrophic Lateral Sclerosis, file 5747d53d-1a87-4f9e-8ef5-c0ed8927e8da
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39
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ThermoScan: Semi-automatic Identification of Protein Stability Data From PubMed, file e27ce432-0e05-2581-e053-d805fe0acbaa
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39
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Longitudinal transcriptomic and genetic landscape of radiotherapy response in canine melanoma, file e27ce430-20cf-2581-e053-d805fe0acbaa
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27
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Caucasian lean subjects with non-alcoholic fatty liver disease share long-term prognosis of non-lean: time for reappraisal of BMI-driven approach?, file e27ce433-00ae-2581-e053-d805fe0acbaa
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25
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DOME: recommendations for supervised machine learning validation in biology, file e27ce433-9668-2581-e053-d805fe0acbaa
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25
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DDGun: an untrained predictor of protein stability changes upon amino acid variants, file aab1be2e-cf76-4ed7-a778-3f86d937ff93
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22
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Modelling socioeconomic position as a driver of the exposome in the first 18 months of life of the NINFEA birth cohort children, file 0fe7136c-1302-45a4-a892-bd2fdf9df6f1
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20
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Unravelling the instability of mutational signatures extraction via archetypal analysis, file e180eac9-f25a-4c59-9812-4213d2bb3060
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20
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INPS: predicting the impact of non-synonymous variations on protein stability from sequence, file e27ce433-e4d9-2581-e053-d805fe0acbaa
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17
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From genotype to phenotype in Arabidopsis thaliana: in-silico genome interpretation predicts 288 phenotypes from sequencing data, file e27ce434-e89b-2581-e053-d805fe0acbaa
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15
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Pan-cancer evaluation of the association between immune cell infiltration and Necroptosis activity., file e27ce432-c185-2581-e053-d805fe0acbaa
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14
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Deep learning methods to predict amyotrophic lateral sclerosis disease progression, file 16aeb897-fcb2-467a-8f3e-430cac88b7f7
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13
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Challenges and Opportunities of Precision Medicine in Sickle Cell Disease: Novel European Approach by GenoMed4All Consortium and ERN-EuroBloodNet, file c64514f5-4bdc-4f66-ba06-aa5e0dd1827e
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13
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Evaluating the predictions of the protein stability change upon single amino acid substitutions for the FXN CAGI5 challenge, file e27ce42e-724a-2581-e053-d805fe0acbaa
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13
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Resources and tools for rare disease variant interpretation, file b7d81f4e-523b-4563-9bb2-32013b87c394
|
7
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Analysis of hard protein corona composition on selective iron oxide nanoparticles by MALDI-TOF mass spectrometry: identification and amplification of a hidden mastitis biomarker in milk proteome, file e27ce42e-aec0-2581-e053-d805fe0acbaa
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5
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K-Pro: Kinetics Data on Proteins and Mutants, file 961ab4a5-5dae-41e9-8fd8-c1924799c7a4
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4
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Evaluating the relevance of sequence conservation in the prediction of pathogenic missense variants, file e27ce434-b44e-2581-e053-d805fe0acbaa
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4
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Cohort profile: the Turin prostate cancer prognostication (TPCP) cohort, file 8af161cf-1246-4333-8415-84c0de50fbed
|
3
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Challenges in predicting stabilizing variations: An exploration, file c6bb343b-b325-44b9-ab94-6ae29502bed5
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3
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Microbiota and environmental stress: how pollution affects microbial communities in Manila clams, file e27ce42e-5f21-2581-e053-d805fe0acbaa
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3
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Synergistic toxicity of some sulfonamide mixtures on Daphnia magna, file e27ce42e-83a3-2581-e053-d805fe0acbaa
|
3
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An antisymmetric neural network to predict free energy changes in protein variants, file e27ce431-bf62-2581-e053-d805fe0acbaa
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3
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PhD-SNPg: updating a webserver and lightweight tool for scoring nucleotide variants, file 107e8dd4-9978-4831-a428-7343426178b6
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2
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Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review, file 13b3ce4f-da2e-48d0-b137-3414b0f86693
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2
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Recombulator-X: A fast and user-friendly tool for estimating X chromosome recombination rates in forensic genetics, file 26784003-6282-4836-b422-15248fa73674
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2
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Machine Learning for Predicting Clinician Evaluation of Treatment Plans for Left-Sided Whole Breast Radiation Therapy, file 40755b45-526b-4d4b-9b77-87ef6f21fa44
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2
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Nonlinear data fusion over Entity-Relation graphs for Drug-Target Interaction prediction, file 4998307e-1cf2-439c-be47-ef99be1af326
|
2
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Cohort profile: the Turin prostate cancer prognostication (TPCP) cohort, file a4f70a86-059e-4e91-87eb-7c378d222f6d
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2
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INPS-MD: A web server to predict stability of protein variants from sequence and structure, file e27ce42d-983a-2581-e053-d805fe0acbaa
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2
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AlignBucket: a tool to speed up 'all-against-all' protein sequence alignments optimizing length constraints, file e27ce42d-9f2a-2581-e053-d805fe0acbaa
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2
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INPS: predicting the impact of non-synonymous variations on protein stability from sequence, file e27ce42d-af0a-2581-e053-d805fe0acbaa
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2
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On the biases in predictions of protein stability changes upon variations: the INPS test case, file e27ce42e-7248-2581-e053-d805fe0acbaa
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2
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SYNDSURV: A simple framework for survival analysis with data distributed across multiple institutions, file e9433485-6b08-4678-a637-77a8cae9f0de
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2
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CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods, file f5764e70-25ec-4877-951f-d2464831c52b
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2
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Impact of PNPLA3 rs738409 polymorphism on the development of liver-related events in patients with non-alcoholic fatty liver disease, file ccf0231a-eeab-49b0-81b0-67381ae9ddd0
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1
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ISPRED4: Interaction Sites PREDiction in protein structures with a refining grammar model, file e27ce42d-9657-2581-e053-d805fe0acbaa
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1
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Blind prediction of deleterious amino acid variations with SNPs&GO, file e27ce42d-9f25-2581-e053-d805fe0acbaa
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1
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TPpred3 detects and discriminates mitochondrial and chloroplastic targeting peptides in eukaryotic proteins, file e27ce42d-9f26-2581-e053-d805fe0acbaa
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1
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NET-GE: a web-server for NETwork-based human gene enrichment, file e27ce42d-9f29-2581-e053-d805fe0acbaa
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1
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The s2D Method: Simultaneous Sequence-Based Prediction of the Statistical Populations of Ordered and Disordered Regions in Proteins, file e27ce42d-af0b-2581-e053-d805fe0acbaa
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1
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Tracing seafood at high spatial resolution using NGS-generated data and machine learning: Comparing microbiome versus SNPs, file e27ce42d-d387-2581-e053-d805fe0acbaa
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1
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On the critical review of five machine learning-based algorithms for predicting protein stability changes upon mutation, file e27ce431-0ea6-2581-e053-d805fe0acbaa
|
1
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Long-term outcomes and predictive ability of non-invasive scoring systems in patients with non-alcoholic fatty liver disease, file e27ce432-c7ae-2581-e053-d805fe0acbaa
|
1
|
| Totale |
4.166 |