Results 101 to 110 of about 27,702,554 (344)
Molecular Modeling in Drug Design [PDF]
This Special Issue contains thirteen articles that provide a vivid snapshot of the state-of-the-art of molecular modeling in drug design, illustrating recent advances and critically discussing important challenges [...]
Outi M. H. Salo-Ahen+2 more
openaire +5 more sources
Hermansky‐Pudlak syndrome type 1 (HPS‐1) is a rare, autosomal recessive disorder with poorly understood renal involvement. Urinary extracellular vesicle (uEV) proteomics and a novel Hps1 mouse model reveal mitochondrial abnormalities and lipid accumulation in HPS‐1 kidney proximal tubule cells. Serum ApoA1 correlates with kidney function in our patient
Dawn M. Maynard+7 more
wiley +1 more source
Probabilistic Generative Deep Learning for Molecular Design [PDF]
Probabilistic generative deep learning for molecular design involves the discovery and design of new molecules and analysis of their structure, properties and activities by probabilistic generative models using the deep learning approach. It leverages the existing huge databases and publications of experimental results, and quantum-mechanical ...
arxiv
Molecular Property Prediction Based on Graph Structure Learning [PDF]
Molecular property prediction (MPP) is a fundamental but challenging task in the computer-aided drug discovery process. More and more recent works employ different graph-based models for MPP, which have made considerable progress in improving prediction performance.
arxiv
The human Na+/H+ antiporter NHA2 transports Na+ or Li+ in exchange for protons across cell membranes, and its dysfunction results in various pathologies, e.g., fertility disorders, hypertension, or diabetes. This work provides the molecular characterization of interactions of NHA2 with its specific inhibitor phloretin, which can be helpful for the ...
Olga Zimmermannova+3 more
wiley +1 more source
Transport of Molecular Motor Dimers in Burnt-Bridge Models
Dynamics of molecular motor dimers, consisting of rigidly bound particles that move along two parallel lattices and interact with underlying molecular tracks, is investigated theoretically by analyzing discrete-state stochastic continuous-time burnt ...
Alexander Yu Morozov+5 more
core +1 more source
Understanding molecular representations in machine learning: The role of uniqueness and target similarity [PDF]
The predictive accuracy of Machine Learning (ML) models of molecular properties depends on the choice of the molecular representation. Based on the postulates of quantum mechanics, we introduce a hierarchy of representations which meet uniqueness and ...
Bing Huang+4 more
core +2 more sources
A Molecular-Mechanical Model of the Microtubule [PDF]
Dynamic instability of MTs is thought to be regulated by biochemical transformations within tubulin dimers that are coupled to the hydrolysis of bound GTP. Structural studies of nucleotide-bound tubulin dimers have recently provided a concrete basis for understanding how these transformations may contribute to MT dynamic instability.
Elena A. Ermakova+5 more
openaire +3 more sources
We describe a novel set of Epac‐based FRET‐FLIM biosensors with improved fully cytosolic distribution, achieved without compromising the state‐of‐the‐art performance of our original designs, for detecting cAMP dynamics in real time in live cells with high precision and reliability.
Giulia Zanetti+2 more
wiley +1 more source
Molecular Programming Pseudo-code Representation to Molecular Electronics [PDF]
This research paper is proposing the idea of pseudo code representation to molecular programming used in designing molecular electronics devices. Already the schematic representation of logical gates like AND, OR, NOT etc.from molecular diodes or resonant tunneling diode are available.
arxiv