Results 141 to 150 of about 12,735,429 (294)

Artificial molecular machines and motors—Design and control of nanoscale motion

FEBS Letters, EarlyView.
Molecules are constantly moving because of thermal fluctuations, but random motion alone cannot be exploited to perform directional tasks. Artificial molecular machines use chemical, electrical, or light energy to bias this motion. Molecular shuttles, rotary motors, and supramolecular pumps illustrate how nanoscale movement can be controlled and ...
Leonardo Andreoni, Alberto Credi
wiley   +1 more source

Artificial intelligence and ultra-high performance computing methods and experiments for drug discovery: virtual screening, deep learning, molecular dynamics simulations, ADMET modelling, and experimental validation. [PDF]

Mol Biomed
Li L, Soriano LD, Kedir WM, Hoch FL, Loke DK.   +4 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

Multi-objective optimization in the context of generative chemistry. [PDF]

Nat Commun
Torren-Peraire P, Schneider N, Rodríguez-Pérez R, Fairhurst RA, Lanini J.   +4 more
europepmc   +1 more source

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

Molecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source

Chemical complexity mapping in QSAR models

Chemistry Central Journal, 2009
Schüürmann G, Kühne R, Ebert R-U, Thalheim T   +3 more
doaj   +1 more source

Transfer learning for honey bee toxicity prediction: MolFormer versus classical QSAR representations. [PDF]

Ecotoxicology
de Souza Pinho AV, de Alencar Filho EB, de Oliveira Neto RF.   +2 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

Steam engine parts lists and descriptions, 2004

, 2004
Historic Steam Models Working Masterpieces in ...
Steam Models Co
core  

ToxiVerse: chemical bioprofiling, toxicity data sharing and customizable predictive modeling. [PDF]

Bioinformatics
Durai P, Russo DP, Shen Y, Wang T, Chung E, Li L, Zhu H.   +6 more
europepmc   +1 more source