David L. Masica, Ph.D.
Affiliations: | 2009 | Johns Hopkins University, Baltimore, MD |
Area:
General BiophysicsGoogle:
"David Masica"Mean distance: (not calculated yet)
Parents
Sign in to add mentor| Jeffrey J. Gray | grad student | 2009 | Johns Hopkins (Computational Biology Tree) | |
| (Structure determination and design of biomineral -associated proteins.) | ||||
| Jan H. Hoh | grad student | 2009 | Johns Hopkins | |
| (Structure determination and design of biomineral -associated proteins.) | ||||
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Publications
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| Kasak L, Bakolitsa C, Hu Z, et al. (2019) Assessing Computational Predictions of the Phenotypic Effect of Cystathionine-beta-Synthase Variants. Human Mutation |
| Beleva Guthrie V, Masica DL, Fraser A, et al. (2018) Network Analysis of Protein Adaptation: modeling the functional impact of multiple mutations. Molecular Biology and Evolution |
| Guidugli L, Shimelis H, Masica DL, et al. (2018) Assessment of the Clinical Relevance of BRCA2 Missense Variants by Functional and Computational Approaches. American Journal of Human Genetics |
| Glusman G, Rose PW, Prlić A, et al. (2017) Mapping genetic variations to three-dimensional protein structures to enhance variant interpretation: a proposed framework. Genome Medicine. 9: 113 |
| Tokheim C, Bhattacharya R, Niknafs N, et al. (2016) Exome-scale discovery of hotspot mutation regions in human cancer using 3D protein structure. Cancer Research |
| Masica DL, Karchin R. (2016) Towards Increasing the Clinical Relevance of In Silico Methods to Predict Pathogenic Missense Variants. Plos Computational Biology. 12: e1004725 |
| Douville C, Masica DL, Stenson PD, et al. (2015) Assessing the Pathogenicity of Insertion and Deletion Variants with the Variant Effect Scoring Tool (VEST-Indel). Human Mutation |
| Masica DL, Sosnay PR, Raraigh KS, et al. (2015) Missense variants in CFTR nucleotide-binding domains predict quantitative phenotypes associated with cystic fibrosis disease severity. Human Molecular Genetics. 24: 1908-17 |
| Masica DL, Li S, Douville C, et al. (2015) Predicting survival in head and neck squamous cell carcinoma from TP53 mutation. Human Genetics. 134: 497-507 |
| Masica D, Li S, Douville C, et al. (2014) Evaluation of computational tools to determine prognostic significance of TP53 mutation in head and neck squamous cell carcinoma (HNSCC). Journal of Clinical Oncology. 32: 6035-6035 |