Results 161 to 170 of about 10,322,171 (244)

Cross Mol: cross-modal mask-predict pre-training for 3D molecular data. [PDF]

Bioinformatics
Zheng K, Yang J, Long S, Ju W, Ma WY, Zhou H, Zhang M.   +6 more
europepmc   +1 more source

Soft motions encoded by the fold and mediated by conserved hinge sites drive V‐ATPase allosteric machinery and autoinhibition

FEBS Letters, EarlyView.
Vacuolar H+‐ATPase (V‐ATPase) is a multisubunit rotary proton pump that acidifies intracellular compartments. Using elastic network models, we identified conserved hinge residues that govern its large‐scale functional motions. We show that intrinsically encoded ‘soft modes’ drive critical functional transitions, including rotary catalysis and ...
Diksha Parwana, Xiaowei Bogetti, Stuti Sharma, Ivet Bahar   +3 more
wiley   +1 more source

From prediction to advising: a multi model approach using NBME subject examinations to inform step 2 CK performance. [PDF]

Med Educ Online
Boateng B, Clemmons K, Sward L, Latch R, Graham C, Spollen J.   +5 more
europepmc   +1 more source

Unlocking the potential of cell‐permeable nanobodies for intracellular applications

FEBS Letters, EarlyView.
This review outlines current strategies for delivery of nanobodies into cells and highlights recent examples of functional applications. By addressing and manipulating intracellular targets, these molecules hold great potential for treating cancer, respiratory diseases and neurological disorders, making this a vibrant area of research in the biomedical
Mariona Gené‐Verdés, Luise Franz, Christian P.R. Hackenberger   +2 more
wiley   +1 more source

Comparing the paths of Hedgehog release in artificial and natural settings

FEBS Letters, EarlyView.
Hh morphogens require solubilization factors to overcome their tight association with the plasma membrane and signal to distant cells, but the precise functions of these factors are controversial. Here, we use published in vivo observations as the most relevant evidence to test their suggested functions and discuss contradictions and gaps between in ...
Janna Puschmann, Kay Grobe
wiley   +1 more source

Machine learning-enabled wastewater-based surveillance for emerging pathogen detection and monitoring: current applications, challenges, and future prospects. [PDF]

Emerg Microbes Infect
Song A, Jia P, Luo J, Pang X, He Y, Tang YW.   +5 more
europepmc   +1 more source

The role of miR‐335‐5p in the redifferentiation of BRAF p.V600E thyroid cancers

Molecular Oncology, EarlyView.
The BRAF p.V600E mutation promotes thyroid cancer dedifferentiation and radioiodine resistance. Using a network approach, we identified miR‐335‐5p as a key regulator of BRAF‐mutated thyroid tumors. Restoring miR‐335‐5p increased thyroid‐specific gene expression and iodine uptake in cells and organoids.
Valeria Pecce, Simone Bini, Marialuisa Sponziello, Giorgio Grani, Giulia Fiscon, Paola Paci, Lorenzo Farina, Rosa Falcone, Valentina Maggisano, Sebastiano Filetti, Cosimo Durante, Antonella Verrienti   +11 more
wiley   +1 more source

Digital Twins in Clinical Neurology: From Concept to Clinical Application in Multiple Sclerosis. [PDF]

Eur J Neurol
Voigt I, Inojosa H, Wenk J, Gasparovic-Curtini I, Groppa S, Grothe M, Pawlitzki M, Masanneck L, Meuth S, Gilbert S, Ziemssen T.   +10 more
europepmc   +1 more source

Circular RNA expression landscapes in myelodysplastic neoplasms: Associations with mutational signatures and disease progression

Molecular Oncology, EarlyView.
In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge, Morten Tulstrup, Gabriele Todisco, Pedro Moura, Christophe Côme, Jakob Werner Hansen, Jakob Schmidt Jespersen, Balthasar Schlotmann, Maria Creignou, Mette Dahl, Claudia Schöllkopf, Klas Raaschou‐Jensen, Krister Wennerberg, Bo Porse, Joachim Weischenfeldt, Eva Hellström‐Lindberg, Lasse Sommer Kristensen, Kirsten Grønbæk   +17 more
wiley   +1 more source

Retrospective Analysis of Tuberculosis Treatment Duration and Outcomes Using Explainable Machine Learning on Malaysian Patient Data. [PDF]

J Clin Med
Balakrishnan V, Tan JK, Gan CL.
europepmc   +1 more source