Results 181 to 190 of about 3,531,989 (315)

Targeted molecular generation with latent reinforcement learning. [PDF]

Sci Rep
Haddad R, Litsa EE, Liu Z, Yu X, Burkhardt D, Bhisetti G.   +5 more
europepmc   +1 more source

Transcriptome‐wide analysis of circRNA and RBP profiles and their molecular relevance for GBM

Molecular Oncology, EarlyView.
CircRNAs are differentially expressed in glioblastoma primary tumors and might serve as therapeutic targets and diagnostic markers. The investigation of circRNA and RNA‐binding proteins (RBPs) interactions shows that distinct RBPs play a role in circRNA biogenesis and function.
Julia Latowska‐Łysiak, Żaneta Zarębska, Marcin P. Sajek, Adriana Grabowska, Alessia Buratin, Paweł Głodowicz, Julia O. Misiorek, Konrad Kuczyński, Stefania Bortoluzzi, Marek Żywicki, Jan G. Kosiński, Agnieszka Rybak‐Wolf, Rafał Piestrzeniewicz, Anna M. Barciszewska, Katarzyna Rolle   +14 more
wiley   +1 more source

Evaluation of Matrix Effects in SIMS Using Gaussian Process Regression: The Case of Olivine Mg Isotope Microanalysis. [PDF]

Rapid Commun Mass Spectrom
Itano K, Fukuda K, Kita NT, Ueki K, Kuwatani T, Akaho S.   +5 more
europepmc   +1 more source

Targeting the MDM2‐MDM4 interaction interface reveals an otherwise therapeutically active wild‐type p53 in colorectal cancer

Molecular Oncology, EarlyView.
This study investigates an alternative approach to reactivating the oncosuppressor p53 in cancer. A short peptide targeting the association of the two p53 inhibitors, MDM2 and MDM4, induces an otherwise therapeutically active p53 with unique features that promote cell death and potentially reduce toxicity towards proliferating nontumor cells.
Sonia Valentini, Giada Mele, Marika Attili, Maria Rita Assenza, Fulvio Saccoccia, Francesca Sardina, Cinzia Rinaldo, Roberto Massari, Nicola Tirelli, Alfredo Pontecorvi, Fabiola Moretti   +10 more
wiley   +1 more source

Accurate and efficient machine learning interatomic potentials for finite temperature modelling of molecular crystals. [PDF]

Chem Sci
Della Pia F, Shi BX, Kapil V, Zen A, Alfè D, Michaelides A.   +5 more
europepmc   +1 more source

The Chemical Model of Consciousness

Journal of Chemistry and Chemical Engineering, 2019
Aibassov Yerkin, Yemelyanova Valentina, Bulenbaev Maxat   +2 more
openaire   +1 more source

Thermal proteome profiling and proteome analysis using high‐definition mass spectrometry demonstrate modulation of cholesterol biosynthesis by next‐generation galeterone analog VNPP433‐3β in castration‐resistant prostate cancer

Molecular Oncology, EarlyView.
Elevated level of cholesterol is positively correlated to prostate cancer development and disease severity. Cholesterol‐lowering drugs, such as statins, are demonstrated to inhibit prostate cancer. VNPP433‐3β interrupts multiple signaling and metabolic pathways, including cholesterol biosynthesis, AR‐mediated transcription of several oncogenes, mRNA 5′
Retheesh S. Thankan, Elizabeth Thomas, Mehari M. Weldemariam, Puranik Purushottamachar, Weiliang Huang, Maureen A. Kane, Yuji Zhang, Nicholas Ambulos, Bi‐Dar Wang, David Weber, Vincent C. O. Njar   +10 more
wiley   +1 more source

Machine Learning-Driven Consensus Modeling for Activity Ranking and Chemical Landscape Analysis of HIV-1 Inhibitors. [PDF]

Pharmaceuticals (Basel)
Danishuddin, Haque MA, Madhukar G, Jamal QMS, Kim JJ, Ahmad K.   +5 more
europepmc   +1 more source

Elucidating prognostic significance of purine metabolism in colorectal cancer through integrating data from transcriptomic, immunohistochemical, and single‐cell RNA sequencing analysis

Molecular Oncology, EarlyView.
Low expression of five purine metabolism‐related genes (ADSL, APRT, ADCY3, NME3, NME6) was correlated with poor survival in colorectal cancer. Immunohistochemistry analysis showed that low NME3 (early stage) and low ADSL/NME6 (late stage) levels were associated with high risk.
Sungyeon Kim, Myunghee Kang, Soyeon Jeong, Jisup Kim, Kyoung Oh Kim, Won‐Suk Lee, Jeong‐Heum Baek, Jung Ho Kim, Seungyoon Nam   +8 more
wiley   +1 more source

Development of hybrid computational model for simulation of heat transfer and temperature prediction in chemical reactors. [PDF]

Sci Rep
Thajudeen KY, Ahmed MM, Alshehri SA.
europepmc   +1 more source