Results 161 to 170 of about 23,785,135 (371)

A Modular Biosensor Platform for the Detection of Plastic Monomers and the Engineering of Promiscuous Amidases Toward Challenging Substrates

Advanced Science, EarlyView.
A luciferase is used as biosensor for aldehydes, produced enzymatically from different monomeric building blocks of plastics like polyurethanes (PUs). The screening platform is used to monitor esterase, amidase, and urethanase activity and to guide the selection of enzyme variants with improved hydrolytic activities toward difficult to hydrolyze ...
Ina Somvilla, Hannah Meier, Florian Oehlschläger, Hannes Meinert, Lena Koch, Patrick Ihrle, Katharina M. Mehnert, Morten Flieger, Jonas Boß, Marco Seifert, Dominique Böttcher, Uwe T. Bornscheuer, Thomas Bayer   +12 more
wiley   +1 more source

Development of Dimethylsulfonium Probes for Broad Profiling of Methyllysine Reader Proteins

Advanced Science, EarlyView.
Development of oligoglycine‐based dimethylsulfonium probes for unbiased crosslinking to methyllysine readers. The general probe facilitates profiling of site‐specific methyllysine readers, evaluation of selectivity and activity of reader inhibitors, and global profiling of methyllysine readers.
Jinyu Yang, Yihang Xiao, Yingxiao Gao, Mingxuan Wu   +3 more
wiley   +1 more source

Discovering Anticancer Effects of Phytochemicals on MicroRNA in the Context of Data Mining. [PDF]

Nutrients
Sakai Y, Otsuka K.
europepmc   +1 more source

CACLENS: A Multitask Deep Learning System for Enzyme Discovery

Advanced Science, EarlyView.
CACLENS, a multimodal and multi‐task deep learning framework integrating cross‐attention, contrastive learning, and customized gate control, enables reaction type classification, EC number prediction, and reaction feasibility assessment. CACLENS accelerates functional enzyme discovery and identifies efficient Zearalenone (ZEN)‐degrading enzymes.
Xilong Yi, Yingzhu Tan, Huikang Lin, Guoqing Zhang, Ye Tian, Aibo Wu   +5 more
wiley   +1 more source

Characterization of the stress level of university students using data mining algorithms. [PDF]

Front Res Metr Anal
Reina Marín Y, Quiñones Huatangari L, Cruz Caro O, Sánchez Bardales E, Alva Tuesta JN, Maicelo Guevara JL, Chávez Santos R.   +6 more
europepmc   +1 more source

STUDY AND DETERMINATION OF EYE ASPECT RATIO USING DATA MINING

, 2023
Muhammed Rizwan P. S, Sahil Rao, Sonal Balayan, Neeraj Bhandari, Sonia Choudhary, HMRITM   +5 more
openalex   +1 more source

Data mining with Oracle Data Mining (11g)

, 2010
Data mining is becoming more and more important on number of fields in our lives. It is used by doctors defining medical conditions, bankers dealing with risk management and so on. It is a process of discovering information, patterns and correlation with searching through bigger or smaller quantity of data. Every data mining process, if one wants it to
openaire   +1 more source

Activation of Molecular Oxygen by Electron‐Rich Materials for Sustainable Soil Remediation

Advanced Science, EarlyView.
Abundant molecular oxygen (O2) in nature can be utilized and activated by electron‐rich materials to generate reactive oxygen species for in situ engineering remediation of contaminated soil. The material types, activation mechanisms, and influencing factors are discussed in the research.
Hengxin Liu, Yueming Han, Ruohan Li, Yuntao Guan, Lixun Zhang   +4 more
wiley   +1 more source

Optimizing Diabetes Diagnosis Through Pulse Waveform Analysis and Data Mining. [PDF]

Bioengineering (Basel)
Chang SC, Lin RY, Chang SM, Teng LC, Ku TH, Yeh WC, Huang CL.   +6 more
europepmc   +1 more source

IMPLEMENTASI DATA MINING UNTUK ANALISA POLA PENERIMAAN SECURITY PADA PT.DM SECURITY MENGGUNAKAN METODE ALGORITMA APRIORI [PDF]

, 2020
Ali Ikhwan
openalex