Validation of L-type calcium channel blocker amlodipine as a novel ADHD treatment through cross-species analysis, drug-target Mendelian randomization, and clinical evidence from medical records. [PDF]
Þorsteinsson H +11 more
europepmc +1 more source
HKUST‐1/TiO2 composite materials show a very high photocatalytic hydrogen evolution rate which increases as a function of the irradiation time until reaching a plateau and even surpasses the performance of the 1%Pt/TiO2 material after three photocatalytic cycles.
Alisha Khan +9 more
wiley +1 more source
Identifying Key Binding Interactions Between the Cardiac L-Type Calcium Channel and Calmodulin Using Molecular Dynamics Simulations. [PDF]
Greene D, Shiferaw Y.
europepmc +1 more source
Experimental and Theoretical Confirmation of Covalent Bonding in α‐Pu
From a combination of Reverse Monte Carlo dynamic rigid body fitting to the pair distribution functional and novel density functional approaches, the existence of covalent bonding is confirmed in α‐plutonium alongside other bonding types (i.e. mixed bonding schemes).
Alexander R. Muñoz +10 more
wiley +1 more source
L-type calcium channel regulation of depression, anxiety and anhedonia-related behavioral phenotypes following chronic stress exposure. [PDF]
Nunes EJ +3 more
europepmc +1 more source
Matrix Tropism Influences Endometriotic Cell Attachment Patterns
The influence of substrate stiffness and multicellular coculture on endometriotic cell attachment to extracellular matrix‐laden microarrayed islands is reported. This model investigates early endometriotic cell attachment, aiming to capture “lesion initiation events”.
Hannah S. Theriault +7 more
wiley +1 more source
L-Type Calcium Channel Modulates Low-Intensity Pulsed Ultrasound-Induced Excitation in Cultured Hippocampal Neurons. [PDF]
Fan WY +8 more
europepmc +1 more source
Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer +10 more
wiley +1 more source

