Amyotrophic lateral sclerosis: a neurodegenerative disorder poised for successful therapeutic translation
Amyotrophic lateral sclerosis (ALS) is a devastating disease caused by degeneration of
motor neurons. As with all major neurodegenerative disorders, development of disease …
motor neurons. As with all major neurodegenerative disorders, development of disease …
Methodology-centered review of molecular modeling, simulation, and prediction of SARS-CoV-2
Despite tremendous efforts in the past two years, our understanding of severe acute
respiratory syndrome coronavirus 2 (SARS-CoV-2), virus–host interactions, immune …
respiratory syndrome coronavirus 2 (SARS-CoV-2), virus–host interactions, immune …
Biomedical knowledge graph learning for drug repurposing by extending guilt-by-association to multiple layers
Computational drug repurposing aims to identify new indications for existing drugs by
utilizing high-throughput data, often in the form of biomedical knowledge graphs. However …
utilizing high-throughput data, often in the form of biomedical knowledge graphs. However …
DrugCentral 2023 extends human clinical data and integrates veterinary drugs
DrugCentral monitors new drug approvals and standardizes drug information. The current
update contains 285 drugs (131 for human use). New additions include:(i) the integration of …
update contains 285 drugs (131 for human use). New additions include:(i) the integration of …
[HTML][HTML] Industrializing AI/ML during the end-to-end drug discovery process
Drug discovery aims to select proper targets and drug candidates to address unmet clinical
needs. The end-to-end drug discovery process includes all stages of drug discovery from …
needs. The end-to-end drug discovery process includes all stages of drug discovery from …
Bridging the worlds of pharmacometrics and machine learning
K Stankevičiūtė, JB Woillard, RW Peck… - Clinical …, 2023 - Springer
Precision medicine requires individualized modeling of disease and drug dynamics, with
machine learning-based computational techniques gaining increasing popularity. The …
machine learning-based computational techniques gaining increasing popularity. The …
KG-Hub—building and exchanging biological knowledge graphs
JH Caufield, T Putman, K Schaper, DR Unni… - …, 2023 - academic.oup.com
Abstract Motivation Knowledge graphs (KGs) are a powerful approach for integrating
heterogeneous data and making inferences in biology and many other domains, but a …
heterogeneous data and making inferences in biology and many other domains, but a …
Integrating clinical pharmacology and artificial intelligence: potential benefits, challenges, and role of clinical pharmacologists
H Singh, DK Nim, AS Randhawa… - Expert Review of …, 2024 - Taylor & Francis
Introduction The integration of artificial intelligence (AI) into clinical pharmacology could be a
potential approach for accelerating drug discovery and development, improving patient care …
potential approach for accelerating drug discovery and development, improving patient care …
Janus kinase inhibitors are potential therapeutics for amyotrophic lateral sclerosis
PJ Richardson, DP Smith, A de Giorgio… - Translational …, 2023 - Springer
Amyotrophic lateral sclerosis (ALS) is a poorly treated multifactorial neurodegenerative
disease associated with multiple cell types and subcellular organelles. As with other …
disease associated with multiple cell types and subcellular organelles. As with other …
Pathogenesis and preventive tactics of immune-mediated non-pulmonary COVID-19 in children and beyond
H Chi, L Chang, YC Chao, DS Lin, HW Yang… - International Journal of …, 2022 - mdpi.com
The COVID-19 pandemic has evolved to immune escape and threatened small children and
the elderly with a higher severity and fatality of non-pulmonary diseases. These life …
the elderly with a higher severity and fatality of non-pulmonary diseases. These life …