MVP predicts the pathogenicity of missense variants by deep learning
Accurate pathogenicity prediction of missense variants is critically important in genetic
studies and clinical diagnosis. Previously published prediction methods have facilitated the …
studies and clinical diagnosis. Previously published prediction methods have facilitated the …
Deep-Kcr: accurate detection of lysine crotonylation sites using deep learning method
As a newly discovered protein posttranslational modification, histone lysine crotonylation
(Kcr) involved in cellular regulation and human diseases. Various proteomics technologies …
(Kcr) involved in cellular regulation and human diseases. Various proteomics technologies …
Using proteomic and transcriptomic data to assess activation of intracellular molecular pathways
Abstract Analysis of molecular pathway activation is the recent instrument that helps to
quantize activities of various intracellular signaling, structural, DNA synthesis and repair …
quantize activities of various intracellular signaling, structural, DNA synthesis and repair …
An update on MRMAssayDB: a comprehensive resource for targeted proteomics assays in the community
P Bhowmick, S Roome, CH Borchers… - Journal of Proteome …, 2021 - ACS Publications
Precise multiplexed quantification of proteins in biological samples can be achieved by
targeted proteomics using multiple or parallel reaction monitoring (MRM/PRM). Combined …
targeted proteomics using multiple or parallel reaction monitoring (MRM/PRM). Combined …
[HTML][HTML] Type IV collagen variants in CKD: performance of computational predictions for identifying pathogenic variants
C Shulman, E Liang, M Kamura, K Udwan, T Yao… - Kidney Medicine, 2021 - Elsevier
Rationale & Objective Pathogenic variants in type IV collagen have been reported to
account for a significant proportion of chronic kidney disease. Accordingly, genetic testing is …
account for a significant proportion of chronic kidney disease. Accordingly, genetic testing is …
Contribution of structural accessibility to the cooperative relationship of TF-lncRNA in myopia
H Wang, J Li, S Wang, X Lu, G Zhang… - Briefings in …, 2021 - academic.oup.com
Transcriptional regulation is associated with complicated mechanisms including multiple
molecular interactions and collaborative drive. Long noncoding RNAs (lncRNAs) have …
molecular interactions and collaborative drive. Long noncoding RNAs (lncRNAs) have …
Data types and resources
Recent innovation in the field of machine learning has been enabled by the confluence of
three advances: rapid expansion of affordable computing power in the form of cloud …
three advances: rapid expansion of affordable computing power in the form of cloud …
[PDF][PDF] iEC7871 quercus suber model: the first multi-tissue diel cycle genome-scale metabolic model of a woody tree
In the last decade, genome-scale metabolic models have been increasingly used to study
plant metabolic behaviour at the tissue and multi-tissue level in different environmental …
plant metabolic behaviour at the tissue and multi-tissue level in different environmental …
Homology modeling of CYP6Z3 protein of Anopheles mosquito
M Adebiyi, O Olugbara - Advances in Science, Technology and …, 2021 - eprints.lmu.edu.ng
The Anopheles gambiae's CYP6Z3 protein belongs to the Cytochrome P450 family and
functions in oxidation-reduction processes, many studies including our previous work on …
functions in oxidation-reduction processes, many studies including our previous work on …
Genetic variant effect prediction by supervised nonnegative matrix tri-factorization
AA Arani, M Sehhati, MA Tabatabaiefar - Molecular Omics, 2021 - pubs.rsc.org
Discriminating between deleterious and neutral mutations among numerous non-
synonymous single nucleotide variants (nsSNVs) that may be observed through whole …
synonymous single nucleotide variants (nsSNVs) that may be observed through whole …