Connection

OLIVIER LICHTARGE to Computational Biology

This is a "connection" page, showing publications OLIVIER LICHTARGE has written about Computational Biology.
Connection Strength

7.971
  1. Meta-EA: a gene-specific combination of available computational tools for predicting missense variant effects. Nat Commun. 2025 Jan 02; 16(1):159.
    View in: PubMed
    Score: 0.685
  2. An Evolutionary Trace method defines functionally important bases and sites common to RNA families. PLoS Comput Biol. 2020 03; 16(3):e1007583.
    View in: PubMed
    Score: 0.492
  3. Graph-based information diffusion method for prioritizing functionally related genes in protein-protein interaction networks. Pac Symp Biocomput. 2020; 25:439-450.
    View in: PubMed
    Score: 0.484
  4. CAGI5: Objective performance assessments of predictions based on the Evolutionary Action equation. Hum Mutat. 2019 09; 40(9):1436-1454.
    View in: PubMed
    Score: 0.471
  5. Multimodal network diffusion predicts future disease-gene-chemical associations. Bioinformatics. 2019 05 01; 35(9):1536-1543.
    View in: PubMed
    Score: 0.462
  6. 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.
    View in: PubMed
    Score: 0.406
  7. Prediction and redesign of protein-protein interactions. Prog Biophys Mol Biol. 2014 Nov-Dec; 116(2-3):194-202.
    View in: PubMed
    Score: 0.328
  8. Prediction and experimental validation of enzyme substrate specificity in protein structures. Proc Natl Acad Sci U S A. 2013 Nov 05; 110(45):E4195-202.
    View in: PubMed
    Score: 0.315
  9. ETAscape: analyzing protein networks to predict enzymatic function and substrates in Cytoscape. Bioinformatics. 2012 Aug 15; 28(16):2186-8.
    View in: PubMed
    Score: 0.287
  10. Evolutionary Trace Annotation Server: automated enzyme function prediction in protein structures using 3D templates. Bioinformatics. 2009 Jun 01; 25(11):1426-7.
    View in: PubMed
    Score: 0.229
  11. Rapid detection of similarity in protein structure and function through contact metric distances. Nucleic Acids Res. 2006; 34(22):e152.
    View in: PubMed
    Score: 0.195
  12. Rank information: a structure-independent measure of evolutionary trace quality that improves identification of protein functional sites. Proteins. 2006 Oct 01; 65(1):111-23.
    View in: PubMed
    Score: 0.193
  13. ET viewer: an application for predicting and visualizing functional sites in protein structures. Bioinformatics. 2006 Aug 15; 22(16):2049-50.
    View in: PubMed
    Score: 0.190
  14. Evolutionary trace report_maker: a new type of service for comparative analysis of proteins. Bioinformatics. 2006 Jul 01; 22(13):1656-7.
    View in: PubMed
    Score: 0.188
  15. Evolutionary and structural feedback on selection of sequences for comparative analysis of proteins. Proteins. 2006 Apr 01; 63(1):87-99.
    View in: PubMed
    Score: 0.187
  16. An accurate, sensitive, and scalable method to identify functional sites in protein structures. J Mol Biol. 2003 Feb 07; 326(1):255-61.
    View in: PubMed
    Score: 0.150
  17. Genome interpretation using in silico predictors of variant impact. Hum Genet. 2022 Oct; 141(10):1549-1577.
    View in: PubMed
    Score: 0.142
  18. Structural clusters of evolutionary trace residues are statistically significant and common in proteins. J Mol Biol. 2002 Feb 08; 316(1):139-54.
    View in: PubMed
    Score: 0.140
  19. Getting past appearances: the many-fold consequences of remote homology. Nat Struct Biol. 2001 Nov; 8(11):918-20.
    View in: PubMed
    Score: 0.137
  20. Assessing predictions on fitness effects of missense variants in calmodulin. Hum Mutat. 2019 09; 40(9):1463-1473.
    View in: PubMed
    Score: 0.118
  21. Assessing computational predictions of the phenotypic effect of cystathionine-beta-synthase variants. Hum Mutat. 2019 09; 40(9):1530-1545.
    View in: PubMed
    Score: 0.118
  22. 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.
    View in: PubMed
    Score: 0.118
  23. Assessment of predicted enzymatic activity of a-N-acetylglucosaminidase variants of unknown significance for CAGI 2016. Hum Mutat. 2019 09; 40(9):1519-1529.
    View in: PubMed
    Score: 0.118
  24. Assessment of blind predictions of the clinical significance of BRCA1 and BRCA2 variants. Hum Mutat. 2019 09; 40(9):1546-1556.
    View in: PubMed
    Score: 0.118
  25. 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.
    View in: PubMed
    Score: 0.118
  26. Performance of computational methods for the evaluation of pericentriolar material 1 missense variants in CAGI-5. Hum Mutat. 2019 09; 40(9):1474-1485.
    View in: PubMed
    Score: 0.118
  27. 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.
    View in: PubMed
    Score: 0.117
  28. Assessment of methods for predicting the effects of PTEN and TPMT protein variants. Hum Mutat. 2019 09; 40(9):1495-1506.
    View in: PubMed
    Score: 0.117
  29. Performance of in silico tools for the evaluation of p16INK4a (CDKN2A) variants in CAGI. Hum Mutat. 2017 09; 38(9):1042-1050.
    View in: PubMed
    Score: 0.101
  30. Predicting phenotype from genotype: Improving accuracy through more robust experimental and computational modeling. Hum Mutat. 2017 05; 38(5):569-580.
    View in: PubMed
    Score: 0.099
  31. DISCOVERY OF FUNCTIONAL AND DISEASE PATHWAYS BY COMMUNITY DETECTION IN PROTEIN-PROTEIN INTERACTION NETWORKS. Pac Symp Biocomput. 2017; 22:336-347.
    View in: PubMed
    Score: 0.098
  32. COMPUTING THERAPY FOR PRECISION MEDICINE: COLLABORATIVE FILTERING INTEGRATES AND PREDICTS MULTI-ENTITY INTERACTIONS. Pac Symp Biocomput. 2016; 21:21-32.
    View in: PubMed
    Score: 0.092
  33. Function prediction from networks of local evolutionary similarity in protein structure. BMC Bioinformatics. 2013; 14 Suppl 3:S6.
    View in: PubMed
    Score: 0.075
  34. A large-scale evaluation of computational protein function prediction. Nat Methods. 2013 Mar; 10(3):221-7.
    View in: PubMed
    Score: 0.075
  35. The use of evolutionary patterns in protein annotation. Curr Opin Struct Biol. 2012 Jun; 22(3):316-25.
    View in: PubMed
    Score: 0.071
  36. Sequence and structure continuity of evolutionary importance improves protein functional site discovery and annotation. Protein Sci. 2010 Jul; 19(7):1296-311.
    View in: PubMed
    Score: 0.063
  37. Evolution: a guide to perturb protein function and networks. Curr Opin Struct Biol. 2010 Jun; 20(3):351-9.
    View in: PubMed
    Score: 0.062
  38. The MASH pipeline for protein function prediction and an algorithm for the geometric refinement of 3D motifs. J Comput Biol. 2007 Jul-Aug; 14(6):791-816.
    View in: PubMed
    Score: 0.051
  39. Recurrent use of evolutionary importance for functional annotation of proteins based on local structural similarity. Protein Sci. 2006 Jun; 15(6):1530-6.
    View in: PubMed
    Score: 0.047
  40. Cavity-aware motifs reduce false positives in protein function prediction. Comput Syst Bioinformatics Conf. 2006; 311-23.
    View in: PubMed
    Score: 0.046
  41. Correlated evolutionary pressure at interacting transcription factors and DNA response elements can guide the rational engineering of DNA binding specificity. J Mol Biol. 2005 Jul 15; 350(3):402-15.
    View in: PubMed
    Score: 0.044
  42. Character and evolution of protein-protein interfaces. Phys Biol. 2005 Jun; 2(2):S36-43.
    View in: PubMed
    Score: 0.044
  43. Computational and biochemical identification of a nuclear pore complex binding site on the nuclear transport carrier NTF2. J Mol Biol. 2004 Nov 19; 344(2):303-10.
    View in: PubMed
    Score: 0.042
  44. ASCC1 structures and bioinformatics reveal a novel helix-clasp-helix RNA-binding motif linked to a two-histidine phosphodiesterase. J Biol Chem. 2024 Jun; 300(6):107368.
    View in: PubMed
    Score: 0.041
  45. Critical assessment of variant prioritization methods for rare disease diagnosis within the rare genomes project. Hum Genomics. 2024 04 29; 18(1):44.
    View in: PubMed
    Score: 0.041
  46. Predicting venous thromboembolism risk from exomes in the Critical Assessment of Genome Interpretation (CAGI) challenges. Hum Mutat. 2019 09; 40(9):1314-1320.
    View in: PubMed
    Score: 0.029
  47. Benchmarking predictions of allostery in liver pyruvate kinase in CAGI4. Hum Mutat. 2017 09; 38(9):1123-1131.
    View in: PubMed
    Score: 0.025
  48. HUMAN KINASES DISPLAY MUTATIONAL HOTSPOTS AT COGNATE POSITIONS WITHIN CANCER. Pac Symp Biocomput. 2017; 22:414-425.
    View in: PubMed
    Score: 0.025
  49. REPURPOSING GERMLINE EXOMES OF THE CANCER GENOME ATLAS DEMANDS A CAUTIOUS APPROACH AND SAMPLE-SPECIFIC VARIANT FILTERING. Pac Symp Biocomput. 2016; 21:207-18.
    View in: PubMed
    Score: 0.023
  50. Determinants of endogenous ligand specificity divergence among metabotropic glutamate receptors. J Biol Chem. 2015 Jan 30; 290(5):2870-8.
    View in: PubMed
    Score: 0.021
  51. Algorithms for structural comparison and statistical analysis of 3D protein motifs. Pac Symp Biocomput. 2005; 334-45.
    View in: PubMed
    Score: 0.011
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.