Results 281 to 290 of about 109,425 (326)
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
A streamlined platform for glycosite‐specific antibody conjugation is enabled by LacNAc‐derived cyclic acetal donors, which can be prepared in only two steps and used directly in single‐enzyme Endo S2‐mediated transglycosylation. The platform supports the broad construction of homogeneous gsADCs and gsDACs, with donor 7 producing glycoengineered ...
Deqin Cai +13 more
wiley +2 more sources
A point‐of‐care testing method based on solvent‐responsive magnetic beads suitable for large‐area diagnosis and mutation screening in remote areas was developed to detect it by combining bioluminescenct pyrophosphate in real‐time technology and recombinase‐aid amplification technology.
Zhongjie Fei +8 more
wiley +1 more source
Biocatalytic Regioselective C‐Formylation of Resorcinol Derivatives
An acyltransferase from Chromobacterium sphagni (CsATase) was identified that catalyzes the regioselective formylation of resorcinol substrates. The formylation of substituted resorcinol derivatives yielded mono‐formylated products with up to 99% conversion and up to 74% isolated yield.
Lilla Gal +6 more
wiley +2 more sources
A Murine Bispecific Antibody Efficiently Redirects T Cells Against Calr Mutated Stem Cells In Vivo
ABSTRACT Calreticulin (CALR) mutations are prevalent in 20%–30% of patients with BCR::ABL1‐negative myeloproliferative neoplasms (MPN). Mutant calreticulin (mutCALR), presented by the thrombopoietin receptor (MPL, also known as TPOR or CD110) on the surface of the disease‐initiating MPN progenitors, represents an ideal target for curative ...
Shengen Xiong +5 more
wiley +1 more source
Engineering Fluoroacetate Dehalogenase by Growth‐Based Selections on Non‐Natural Organofluorides
We present a high‐throughput selection system to engineer fluoroacetate dehalogenases (FAcDs). By challenging E. coli populations that produce diverse FAcD libraries to grow on non‐natural organofluorides as their sole carbon source, we isolated a panel of FAcD variants with improved activity and altered substrate specificity.
Suzanne C. Jansen +2 more
wiley +2 more sources

