PANAGIOTIS KATSONIS to Computational Biology
This is a "connection" page, showing publications PANAGIOTIS KATSONIS has written about Computational Biology.
Connection Strength
3.125
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Meta-EA: a gene-specific combination of available computational tools for predicting missense variant effects. Nat Commun. 2025 01 02; 16(1):159.
Score: 0.627
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CAGI5: Objective performance assessments of predictions based on the Evolutionary Action equation. Hum Mutat. 2019 09; 40(9):1436-1454.
Score: 0.431
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Objective assessment of the evolutionary action equation for the fitness effect of missense mutations across CAGI-blinded contests. Hum Mutat. 2017 09; 38(9):1072-1084.
Score: 0.372
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Genome interpretation using in silico predictors of variant impact. Hum Genet. 2022 Oct; 141(10):1549-1577.
Score: 0.130
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Assessing predictions on fitness effects of missense variants in calmodulin. Hum Mutat. 2019 09; 40(9):1463-1473.
Score: 0.108
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Assessing computational predictions of the phenotypic effect of cystathionine-beta-synthase variants. Hum Mutat. 2019 09; 40(9):1530-1545.
Score: 0.108
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CAGI SickKids challenges: Assessment of phenotype and variant predictions derived from clinical and genomic data of children with undiagnosed diseases. Hum Mutat. 2019 09; 40(9):1373-1391.
Score: 0.108
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Assessment of predicted enzymatic activity of a-N-acetylglucosaminidase variants of unknown significance for CAGI 2016. Hum Mutat. 2019 09; 40(9):1519-1529.
Score: 0.108
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Assessment of blind predictions of the clinical significance of BRCA1 and BRCA2 variants. Hum Mutat. 2019 09; 40(9):1546-1556.
Score: 0.108
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Assessing the performance of in silico methods for predicting the pathogenicity of variants in the gene CHEK2, among Hispanic females with breast cancer. Hum Mutat. 2019 09; 40(9):1612-1622.
Score: 0.108
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Performance of computational methods for the evaluation of pericentriolar material 1 missense variants in CAGI-5. Hum Mutat. 2019 09; 40(9):1474-1485.
Score: 0.108
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Assessment of patient clinical descriptions and pathogenic variants from gene panel sequences in the CAGI-5 intellectual disability challenge. Hum Mutat. 2019 09; 40(9):1330-1345.
Score: 0.107
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Assessment of methods for predicting the effects of PTEN and TPMT protein variants. Hum Mutat. 2019 09; 40(9):1495-1506.
Score: 0.107
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Performance of in silico tools for the evaluation of p16INK4a (CDKN2A) variants in CAGI. Hum Mutat. 2017 09; 38(9):1042-1050.
Score: 0.092
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Predicting phenotype from genotype: Improving accuracy through more robust experimental and computational modeling. Hum Mutat. 2017 05; 38(5):569-580.
Score: 0.091
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REPURPOSING GERMLINE EXOMES OF THE CANCER GENOME ATLAS DEMANDS A CAUTIOUS APPROACH AND SAMPLE-SPECIFIC VARIANT FILTERING. Pac Symp Biocomput. 2016; 21:207-18.
Score: 0.084
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Prediction and redesign of protein-protein interactions. Prog Biophys Mol Biol. 2014 Nov-Dec; 116(2-3):194-202.
Score: 0.075
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Evaluating predictors of kinase activity of STK11 variants identified in primary human non-small cell lung cancers. Hum Genet. 2025 Mar; 144(2-3):127-142.
Score: 0.039
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CAGI6 ID panel challenge: assessment of phenotype and variant predictions in 415 children with neurodevelopmental disorders (NDDs). Hum Genet. 2025 Mar; 144(2-3):227-242.
Score: 0.039
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Assessing predictions on fitness effects of missense variants in HMBS in CAGI6. Hum Genet. 2025 Mar; 144(2-3):173-189.
Score: 0.038
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ASCC1 structures and bioinformatics reveal a novel helix-clasp-helix RNA-binding motif linked to a two-histidine phosphodiesterase. J Biol Chem. 2024 06; 300(6):107368.
Score: 0.037
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Critical assessment of variant prioritization methods for rare disease diagnosis within the rare genomes project. Hum Genomics. 2024 04 29; 18(1):44.
Score: 0.037
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Predicting the impact of rare variants on RNA splicing in CAGI6. Hum Genet. 2025 Mar; 144(2-3):243-251.
Score: 0.037
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Benchmarking predictions of allostery in liver pyruvate kinase in CAGI4. Hum Mutat. 2017 09; 38(9):1123-1131.
Score: 0.023