Results 191 to 200 of about 8,924,942 (310)

Comparative assessment of crystallographic and cryo‐EM models in the Protein Data Bank

FEBS Open Bio, EarlyView.
Raw data obtained by X‐ray crystallography or cryo‐EM result in experimental maps, ultimately fitted by atomic models. Although the physical principles are different, the final results can be viewed, compared, and evaluated in the same way. With cryogenic electron microscopy (cryo‐EM) on track to surpass X‐ray crystallography as the preferred method ...
Alexander Wlodawer, Pawel Rubach, Zbigniew Dauter, Wojciech Dec, Dariusz Brzezinski, Marta Kulik, Wladek Minor, Mariusz Jaskolski   +7 more
wiley   +1 more source

Recent Advances in Chemical Probing Strategies for RNA Structure Determination In Vivo. [PDF]

Chemistry
Yarshova M, Zhao J, Kwok CK.
europepmc   +1 more source

The C‐terminal domain of yeast Arginyltransferase1 is essential for its catalytic activity

FEBS Open Bio, EarlyView.
Arginyltransferase 1 (Ate1), a eukaryotic enzyme, catalyses arginylation, transferring arginine from tRNA‐Arg to the amino terminus of the target protein. Overexpression of Ate1 in yeast is lethal and is dependent on arginylation. This study elucidates how mutations in the cofactor‐binding and active site of Ate1 and truncation of its structural ...
Vikas Kumar Yadav, Shweta Shweta, Manisha Malhotra, Vikash Maurya, Akhilesh Kumar   +4 more
wiley   +1 more source

Influence of contact map topology on RNA structure prediction. [PDF]

Nucleic Acids Res
Faber C, Upadhyay U, Taubert O, Schug A.
europepmc   +1 more source

MARK4 enhances stress granule formation under oxidative stress and increases tau accumulation

FEBS Open Bio, EarlyView.
MARK4 (red dots) localizes to stress granules (orange dots) and promotes their formation under oxidative stress by modulating TIA1 (blue dots). MARK4 and TIA1 synergistically increase tau (purple) accumulation, and the reduction of the TIA1 ortholog suppresses neurodegeneration in a fly model.
Sho Nakajima, Kotone Watanabe, Grigorii Sultanakhmetov, Aoi Fukuchi, Keiya Ito, Sawako Shimizu, Taro Saito, Akiko Asada, Kanae Ando   +8 more
wiley   +1 more source

Diverse database and machine learning model to narrow the generalization gap in RNA structure prediction. [PDF]

Sci Adv
de Lajarte AA, Taillades YJMD, Aruda J, Bongrand P, Wightman FF, Salazar D, Allan MF, Kalicki C, L'Esperance-Kerckhoff C, Kashi A, Jossinet F, Rouskin S.   +11 more
europepmc   +1 more source

Identification and characterization of a gene conferring stress resistance in Escherichia coli and cyanobacteria

FEBS Open Bio, EarlyView.
Functional screening identified PcSyn14890, a cyanobacteria‐specific protein that enhances growth and stress resistance in E. coli and Synechocystis PCC6803. Although we expected it to function as a molecular chaperone, it was unable to protect against thermal aggregation of GAPDH.
Akiyo Yamada, Takaaki Tanaka, Manaka Uehara, Keigo Nakano, Ken Morishima, Rintaro Inoue, Masaaki Sugiyama, Masafumi Yohda   +7 more
wiley   +1 more source

DRfold2 is a deep learning-based tool that enables efficient and accurate RNA structure prediction. [PDF]

PLoS Biol
Li Y, Feng C, Zhang X, Tsukiyama S, Feng D, Zhang Y.   +5 more
europepmc   +1 more source

Selective elimination of quiescent cancer cells by dequalinium chloride via ROS‐mediated ferroptosis

FEBS Open Bio, EarlyView.
Dequalinium chloride (DQ) selectively eliminates quiescent cancer cells (QCCs) by amplifying mitochondrial ROS. QCCs exhibit elevated basal ROS and limited redox‐buffering capacity, making them vulnerable to further ROS increases. DQ‐induced ROS exceeds the tolerance threshold, triggering lipid peroxidation and ferroptosis, whereas proliferating cells ...
Kotaro Miyamoto, Shiori Sakai, Minori Endo, Terigele, Mizuho Niibori, Taiki Morita, Yu Goto, Arisa Yoshida, Tomohiro Tanaka, Ning Lin, Takahiro Kuchimaru, Hiroyuki Nakamura, Masahiro Inoue, Shinae Kizaka‐Kondoh, Tetsuya Kadonosono   +14 more
wiley   +1 more source

Associating cancer-related RNA structure disrupting SNPs in LincRNAs to function. [PDF]

BMC Genomics
Han X, Anthon C, Geissler AS, Sabarinathan R, Seemann SE, Havgaard JH, Gorodkin J.   +6 more
europepmc   +1 more source