Results 151 to 160 of about 1,879,885 (315)

Knockout of the mitoribosome rescue factors Ict1 or Mtrfr is viable in zebrafish but not mice: compensatory mechanisms underlying each factor's loss

FEBS Open Bio, EarlyView.
Mitochondria contain two mitoribosome rescue factors, ICT1 and MTRFR (C12orf65). ICT1 also functions as a mitoribosomal protein in mice and humans, and its loss is lethal. Although Mtrfr knockout mice could not be generated, knockout zebrafish lines for ict1 and mtrfr were established.
Nobukazu Nameki, Chika Tomisawa, Soichiro Hoshino, Hidehiko Shimizu, Masashi Abe, Sho Arai, Kanako Kuwasako, Naoki Asakawa, Yusuke Inoue, Takuro Horii, Izuho Hatada, Masakatsu Watanabe   +11 more
wiley   +1 more source

ANALYSIS OF THE USE OF DISTANCE LEARNING IN THE PROFESSIONAL TRAINING OF COMPUTER SCIENCE SPECIALISTS. SYSTEMATIC REVIEW OF THE SCOPUS DATABASE

P.D. Pavlyha
openalex   +1 more source

argNorm: normalization of antibiotic resistance gene annotations to the Antibiotic Resistance Ontology (ARO). [PDF]

Bioinformatics
Ugarcina Perovic S, Ramji V, Chong H, Duan Y, Maguire F, Coelho LP.   +5 more
europepmc   +1 more source

Identifying prognostic targets in metastatic prostate cancer beyond AR

FEBS Open Bio, EarlyView.
Genome‐wide functional screens combined with a large gene expression database and clinical outcomes can identify new therapeutic vulnerabilities in prostate cancer. Eight potentially druggable targets demonstrated strong dependency in cell lines, were associated with worse prognosis clinically, and showed evidence of protein expression in prostate ...
Emily Feng, Eric Feng, Tracy Berg, Isabella S. Nguyen, Lilac G. Nguyen, William Chen, Meng Zhang, David Quigley, Marina Sharifi, Haolong Li, Ilsa Coleman, Peter S. Nelson, Martin Sjöström, Shuang G. Zhao   +13 more
wiley   +1 more source

The Role of Artificial Intelligence in Computer Science Education: A Systematic Review with a Focus on Database Instruction

Alkmini Gaitantzi, Ioannis Kazanidis
openalex   +1 more source

Biological databases in the age of generative artificial intelligence. [PDF]

Bioinform Adv
Pop M, Attwood TK, Blake JA, Bourne PE, Conesa A, Gaasterland T, Hunter L, Kingsford C, Kohlbacher O, Lengauer T, Markel S, Moreau Y, Noble WS, Orengo C, Ouellette BFF, Parida L, Przulj N, Przytycka TM, Ranganathan S, Schwartz R, Valencia A, Warnow T.   +21 more
europepmc   +1 more source

Understanding and Overcoming Immunotherapy Resistance in Skin Cancer: Mechanisms and Strategies

Aging and Cancer, EarlyView.
This narrative review explores the mechanisms driving immunotherapy resistance in skin cancer, including tumor microenvironment factors, genetic mutations, and immune evasion strategies. It highlights potential strategies to overcome resistance, offering insights for improving therapeutic outcomes and guiding future research in personalized ...
Shreya Singh Beniwal, Abhimanyu Chiraparambil Radhakrishnan, Ayanchetty Haripraba, Saif Syed, Gajawada Pragna, Ayush Dwivedi, Akash Rawat, Daniela Castro Calderón, Martin Cevallos‐Cueva   +8 more
wiley   +1 more source

The published role of artificial intelligence in drug discovery and development: a bibliometric and social network analysis from 1990 to 2023. [PDF]

J Cheminform
Koçak M, Akçalı Z.
europepmc   +1 more source

Clc-db: an open-source online database of chiral ligands and catalysts. [PDF]

J Cheminform
Yu G, Yu K, Wang X, Zhang C, Luo Y, Huo X, Yang Y.   +6 more
europepmc   +1 more source

A methodological systematic review of validation and performance of sepsis real-time prediction models. [PDF]

NPJ Digit Med
Wang Z, Wang W, Sun C, Li J, Xie S, Xu J, Zou K, Jin Y, Yan S, Liao X, Kang Y, Coopersmith CM, Sun X.   +12 more
europepmc   +1 more source