Detalhe da pesquisa
1.
Predicting pathogenicity of missense variants with weakly supervised regression.
Hum Mutat
; 40(9): 1579-1592, 2019 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-31144781
2.
Assessment of blind predictions of the clinical significance of BRCA1 and BRCA2 variants.
Hum Mutat
; 40(9): 1546-1556, 2019 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-31294896
3.
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
; 40(9): 1612-1622, 2019 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-31241222
4.
Predicting protein conformational changes for unbound and homology docking: learning from intrinsic and induced flexibility.
Proteins
; 85(3): 544-556, 2017 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-27862345
5.
Physics-driven structural docking and protein language models accelerate antibody screening and design for broad-spectrum antiviral therapy.
bioRxiv
; 2024 Mar 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-38496411
6.
Evaluation of enzyme activity predictions for variants of unknown significance in Arylsulfatase A.
bioRxiv
; 2024 May 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-38798479
7.
Structure-Informed Protein Language Models are Robust Predictors for Variant Effects.
Res Sq
; 2023 Aug 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-37577664
8.
The ENCODE Imputation Challenge: a critical assessment of methods for cross-cell type imputation of epigenomic profiles.
Genome Biol
; 24(1): 79, 2023 04 18.
Artigo
em Inglês
| MEDLINE | ID: mdl-37072822