Variant interpretation using population databases: Lessons from gnomAD
S Gudmundsson, M Singer‐Berk, NA Watts… - Human …, 2022 - Wiley Online Library
Reference population databases are an essential tool in variant and gene interpretation.
Their use guides the identification of pathogenic variants amidst the sea of benign variation …
Their use guides the identification of pathogenic variants amidst the sea of benign variation …
TCM network pharmacology: a new trend towards combining computational, experimental and clinical approaches
W Xin, W Zi-Yi, JH Zheng, LI Shao - Chinese journal of natural medicines, 2021 - Elsevier
Traditional Chinese medicine (TCM) is a precious treasure of the Chinese nation and has
unique advantages in the prevention and treatment of diseases. The holistic view of TCM …
unique advantages in the prevention and treatment of diseases. The holistic view of TCM …
Genome-wide prediction of disease variant effects with a deep protein language model
Predicting the effects of coding variants is a major challenge. While recent deep-learning
models have improved variant effect prediction accuracy, they cannot analyze all coding …
models have improved variant effect prediction accuracy, they cannot analyze all coding …
Building a knowledge graph to enable precision medicine
Developing personalized diagnostic strategies and targeted treatments requires a deep
understanding of disease biology and the ability to dissect the relationship between …
understanding of disease biology and the ability to dissect the relationship between …
Artificial intelligence in cancer target identification and drug discovery
Artificial intelligence is an advanced method to identify novel anticancer targets and discover
novel drugs from biology networks because the networks can effectively preserve and …
novel drugs from biology networks because the networks can effectively preserve and …
A review of computational drug repositioning: strategies, approaches, opportunities, challenges, and directions
Drug repositioning is the process of identifying novel therapeutic potentials for existing drugs
and discovering therapies for untreated diseases. Drug repositioning, therefore, plays an …
and discovering therapies for untreated diseases. Drug repositioning, therefore, plays an …
Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program
Abstract The Trans-Omics for Precision Medicine (TOPMed) programme seeks to elucidate
the genetic architecture and biology of heart, lung, blood and sleep disorders, with the …
the genetic architecture and biology of heart, lung, blood and sleep disorders, with the …
DIABLO: an integrative approach for identifying key molecular drivers from multi-omics assays
Motivation In the continuously expanding omics era, novel computational and statistical
strategies are needed for data integration and identification of biomarkers and molecular …
strategies are needed for data integration and identification of biomarkers and molecular …
[HTML][HTML] Review of drug repositioning approaches and resources
Drug discovery is a time-consuming, high-investment, and high-risk process in traditional
drug development. Drug repositioning has become a popular strategy in recent years …
drug development. Drug repositioning has become a popular strategy in recent years …
[HTML][HTML] A network medicine approach to investigation and population-based validation of disease manifestations and drug repurposing for COVID-19
The global coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute
respiratory syndrome coronavirus 2 (SARS-CoV-2), has led to unprecedented social and …
respiratory syndrome coronavirus 2 (SARS-CoV-2), has led to unprecedented social and …