Wong, Kingsley Junaid, Mohammed Alexander, Solomon Olson, Heather Pestana-Knight, Elia Rajaraman, Rajsekar Downs, Jenny Leonard, Helen
BACKGROUND AND OBJECTIVE: CDKL5 deficiency disorder presents as a challenging condition with early-onset refractory seizures, severe developmental delays, and a range of other neurological symptoms. Our study aimed to explore the benefits and side effects of anti-seizure medications (ASMs) in managing seizures among individuals with CDKL5 deficienc...
Talwar, James V Klie, Adam Pagadala, Meghana S Carter, Hannah
SummaryHarmonizing variant indexing and allele assignments across datasets is crucial for data integrity in cross-dataset studies such as multi-cohort genome-wide association studies, meta-analyses, and the development, validation, and application of polygenic risk scores. Ensuring this indexing and allele consistency is a laborious, time-consuming...
Parsons, Michael T de la Hoya, Miguel Richardson, Marcy E Tudini, Emma Anderson, Michael Berkofsky-Fessler, Windy Caputo, Sandrine M Chan, Raymond C Cline, Melissa S Feng, Bing-Jian
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The ENIGMA research consortium develops and applies methods to determine clinical significance of variants in hereditary breast and ovarian cancer genes. An ENIGMA BRCA1/2 classification sub-group, formed in 2015 as a ClinGen external expert panel, evolved into a ClinGen internal Variant Curation Expert Panel (VCEP) to align with Food and Drug Admi...
Camargo, Antonio Pedro Roux, Simon Schulz, Frederik Babinski, Michal Xu, Yan Hu, Bin Chain, Patrick SG Nayfach, Stephen Kyrpides, Nikos C
Identifying and characterizing mobile genetic elements in sequencing data is essential for understanding their diversity, ecology, biotechnological applications and impact on public health. Here we introduce geNomad, a classification and annotation framework that combines information from gene content and a deep neural network to identify sequences...
Camargo, Antonio Pedro Kyrpides, Nikos C
The detection of mobile genetic elements is crucial for exploring the ecology and evolution of microbial communities, and it has diverse implications in biotechnology and public health. geNomad is a computational framework that enables researchers to precisely identifiy and annotate plasmids and viruses in sequencing data on a large scale.
EL Abed, Maha Dauvignac, Jean-Yves Lantéri, Jérôme Migliaccio, Claire
International audience
Zhang, Oufan Naik, Shubhankar Liu, Zi Forman-Kay, Julie Head-Gordon, Teresa
MOTIVATION: Sidechain rotamer libraries of the common amino acids of a protein are useful for folded protein structure determination and for generating ensembles of intrinsically disordered proteins (IDPs). However, much of protein function is modulated beyond the translated sequence through the introduction of post-translational modifications (PTM...
Chu, Simon Narang, Kush Siegel, Justin
Protein stability plays a crucial role in a variety of applications, such as food processing, therapeutics, and the identification of pathogenic mutations. Engineering campaigns commonly seek to improve protein stability, and there is a strong interest in streamlining these processes to enable rapid optimization of highly stabilized proteins with f...
Wankowicz, Stephanie A Fraser, James S
In the folded state, biomolecules exchange between multiple conformational states crucial for their function. However, most structural models derived from experiments and computational predictions only encode a single state. To represent biomolecules accurately, we must move towards modeling and predicting structural ensembles. Information about st...
Fridgeirsson, Egill Williams, Ross Rijnbeek, Peter Suchard, Marc Reps, Jenna
OBJECTIVE: This study evaluates regularization variants in logistic regression (L1, L2, ElasticNet, Adaptive L1, Adaptive ElasticNet, Broken adaptive ridge [BAR], and Iterative hard thresholding [IHT]) for discrimination and calibration performance, focusing on both internal and external validation. MATERIALS AND METHODS: We use data from 5 US clai...