Results 131 to 140 of about 25,544 (263)

Automation and Active Learning for the Multi‐Objective Optimization of Antibody Formulations

Advanced Science, EarlyView.
Successful antibody formulation necessitates balancing factors such as thermal stability, colloidal stability, and viscosity across a vast excipient design space. This work integrates robotic liquid handling, high‐throughput biophysical characterization, and multi‐objective Bayesian optimization in an iterative closed‐loop Design‐Build‐Test‐Learn cycle.
D. Christopher Radford, Matthew Tamasi, Elena Di Mare, Adam J. Gormley   +3 more
wiley   +1 more source

MonotonicityTest: An R Package for Efficient Nonparametric Monotonicity Testing. [PDF]

Obs Stud
Huynh D, Parast L.
europepmc   +1 more source

ABCABC Stacking‐Enabled Non‐Centrosymmetry 3R‐ZnIn2S4 Nanosheets for Piezocatalytic Uranium Extraction

Advanced Science, EarlyView.
The ABCABC stacking sequence in 2D ZnIn2S4 nanosheets creates intrinsic non‐centrosymmetry, enabling robust piezocatalysis under weak mechanical agitation. The nanosheets achieve a H2O2 yield of 276.7 µmol g−1 h−1 and uranium extraction capacity of 763.2 mg g−1 via a dual mechanism of direct piezoreduction and in situ H2O2 complexation.
Song Li, Huaijuan Zhou, Yingting Yang, Yanhong Lv, Zdeněk Sofer, Jianyun Zheng, Jinhua Li   +6 more
wiley   +1 more source

Constraint aware and uncertainty informed QSAR modeling of Tetrahymena pyriformis toxicity using physicochemical descriptors. [PDF]

Sci Rep
Khafagy ES, Lila ASA, Al Saqr A, Pishnamazi M.   +3 more
europepmc   +1 more source

A Phosphorylation‐Induced Micellization Switch in the Low‐Complexity Domain of TDP‐43

Advanced Science, EarlyView.
Phosphorylation of TAR DNA‐binding protein's 43 kDa (TDP‐43) low‐complexity domain by casein kinase 1 delta (CK1δ) acts as a molecular switch, redirecting its self‐assembly from macroscopic phase separation toward finite‐sized, spherical block‐copolymer micelles of ∼30 nm.
Rodrigo F. Dillenburg, Anastasia Lopatina, Hao Ruan, Tom Scheidt, Simone Mosna, Emre Pekbilir, Julia Bieber, Frank Schäfer‐Depoix, Katharina Landfester, Carla Schmidt, Martin M. Möckel, Svenja Morsbach, Friederike Schmid, Dorothee Dormann, Lukas Stelzl, Martin Girard, Edward A. Lemke   +16 more
wiley   +1 more source

Latent Monotonic Feature Discovery for Structural Health Monitoring. [PDF]

Sensors (Basel)
Toussaint G, Knobbe A.
europepmc   +1 more source

Molecular Dynamics‐Guided Sterol Engineering of mRNA‐Lipid Nanoparticles Reprograms Biodistribution and Enhances Spleen‐Selective Immunity

Advanced Science, EarlyView.
Sterol engineering enables precise control of mRNA lipid nanoparticles by tuning membrane organization. Replacing cholesterol with bile acid‐derived sterols redirects protein expression from the liver to the spleen. Notably, CA‐20 LNP enhances antigen‐specific immune responses while exhibiting a favorable safety profile, highlighting sterols as a ...
Sanghyuk Jeon, Seo‐Hyeon Bae, Jungyong Ji, Jisun Lee, Hosam Choi, Min‐Ho Kang, Sang‐In Park, Hyemin Kim, Nakyung Lee, Hajin Lee, Seonghoon Kim, Jungmin Kim, Subin Yoon, Seonghyun Lee, Seongje Cho, Dahyeon Ha, Ayoung Oh, Sohee Jo, Huijeong Choi, Yeeun Lee, Sowon Lee, Hyo‐Jung Park, Gitak Nam, Jisu Shin, Yujin Kang, Wonpil Im, Kiyoun Lee, Jae‐Hwan Nam   +27 more
wiley   +1 more source

Serum lipid profiles and risk of depression: a UK Biobank prospective cohort study. [PDF]

Front Nutr
Du M, Li C.
europepmc   +1 more source

Regulating Droplet Dynamics via Wormlike Micelle Networks: From Splash Suppression to Precise Confined Spreading

Advanced Science, EarlyView.
As displayed in Graphical Abstract image.tif, a molecular‐design strategy precisely tailors high‐speed droplet dynamics through programmed surfactant co‐assembly. The structural transition into an entangled wormlike micelle network completely suppresses stochastic splashing on fibrous substrates.
Shuling Liu, Beibei Xie, Xingyue Lou, Yu Deng, Lei Wang, Jiawei Li, Dongming Qi   +6 more
wiley   +1 more source

Identification of monotonically classifying pairs of genes for ordinal disease outcomes. [PDF]

Bioinform Adv
Fourquet O, Afenteva D, Zhang K, Hautaniemi S, Krejca MS, Doerr C, Schwikowski B.   +6 more
europepmc   +1 more source