Results 201 to 210 of about 1,196,417 (299)

A Machine Learning-Guided Search of Cu-Based Bimetallic Alloys That Favor CO Dimerization in CO $_2$ RR. [PDF]

ChemSusChem
Salomone M, Wang W, Raffone F, Re Fiorentin M, Risplendi F, Cicero G.   +5 more
europepmc   +1 more source

Optimizing photoactivation of PA‐mCherry for optical pooled CRISPR screens

FEBS Open Bio, EarlyView.
Photoactivatable PA‐mCherry finds widespread use to optically tag individual cells. However, confocal 405 nm UV laser‐scanning (normal scan) is much less efficient than widefield UV illumination, limiting the use of PA‐mCherry on confocal instruments. We remedy this limitation by reporting that rapid and repeated confocal scanning with a low‐intensity,
Sravasti Mukherjee, Giulia Zanetti, Bram van den Broek, Kees Jalink   +3 more
wiley   +1 more source

Accelerating Catalyst Materials Discovery With Large Artificial Intelligence Models. [PDF]

Angew Chem Int Ed Engl
Zhang D, Chen Y, Liu C, Liu Y, Xin H, Peng J, Ou P, Li H.   +7 more
europepmc   +1 more source

Pharmacological inhibition of the PERK pathway modulates hepatocellular carcinoma growth and immune signaling

FEBS Open Bio, EarlyView.
Pharmacological inhibition of PERK in a DEN‐induced mouse model of liver cancer does not reduce tumor burden but alters cellular stress signaling. Despite blocking PERK activity, downstream stress responses, including CHOP expression, remain active, suggesting compensatory mechanisms within the unfolded protein response that may influence tumor ...
Ada Lerma‐Clavero, Maria Kopsida, Nathalie Arendt, Hans Lennernäs, Markus Sjöblom, Femke Heindryckx   +5 more
wiley   +1 more source

Learning potential energy surfaces of hydrogen atom transfer reactions in peptides.

Digit Discov
Neubert M, Reiser P, Gräter F, Friederich P.   +3 more
europepmc   +1 more source

Predictive Chemical Kinetic Modeling: Where We Succeed, Where We Struggle, and What Comes Next. [PDF]

ACS Eng Au
Grinberg Dana A, Van Geem KM, Cavallotti C, Green WH.   +3 more
europepmc   +1 more source

Sudden anaerobization in Amphibacillus xylanus increases intracellular labile ferrous iron and inhibits cell growth

FEBS Open Bio, EarlyView.
Abruptly changing from aerobic to anaerobic conditions (sudden anaerobization) induced growth inhibition and a significant increase in intracellular labile ferrous iron in the aerotolerant anaerobe Amphibacillus xylanus. We found that free flavins mediate efficient electron transfer from NADH to ferric iron under anaerobic conditions, suggesting that ...
Shinya Kimata, Yoichi Sakai, Keisuke Tanaka, Etsuro Yoshimura, Ken Kitano, Morio Ishikawa, Tadahiro Nakamoto, Tsutomu Takayama, Hirofumi Inoue, Kaho Nomura, Tomonori Suzuki, Masataka Uchino, Akira Abe, Youichi Niimura   +13 more
wiley   +1 more source

Challenges and Opportunities of Pretrained Machine Learning Interatomic Potentials in Heterogeneous Catalysis. [PDF]

ACS Catal
Loveday O, Kaźmierczak K, López N.
europepmc   +1 more source

One size does not fit all: An in vitro evaluation of the effects of bezafibrate and medroxyprogesterone acetate on human SH‐SY5Y and U‐87 MG cancer cells

FEBS Open Bio, EarlyView.
Drugs previously repurposed to target blood cancers reduced neuroblastoma and glioblastoma cell growth and viability. However, their levels of anticancer activity were different and their clinical application may be problematic due to side effects at effective doses.
Abhishek Kharawatkar, Francesco Michelangeli, Farhat Latif Khanim, Christopher Martin Bunce, William Eustace Basil Johnson   +4 more
wiley   +1 more source