Results 171 to 180 of about 1,988,676 (267)

AS‐pHopt: An Optimal pH Prediction Model Enhanced by Active Site of Enzymes

Advanced Intelligent Discovery, EarlyView.
To address the low accuracy of enzyme optimal pH (pHopt) prediction, this study develops active site‐based pHopt (AS‐pHopt), a prediction model enhanced by active site information and pseudo‐label prediction. Integrating key structural and physicochemical features affecting enzyme pHopt, AS‐pHopt uses Evolutionary Scale Modeling (ESM)‐2 with active ...
Wenxiang Song, Xinmin Li, Hongbo Yu, Le Xiong, Guixia Liu, Weihua Li, Yun Tang   +6 more
wiley   +1 more source

Technological landscapes and sustainable transitions: reconfiguring the meat industry in Asia. [PDF]

Food Sci Anim Resour
Bassey AP, Zhang W, Zhou G.
europepmc   +1 more source

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

Advanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi, Kazuki Ishizaki, Ryo Fukasawa   +2 more
wiley   +1 more source

In Vitro Probiotic Potential of Lactic Acid Bacteria Isolated from Brazilian Dry-Cured Loin (Socol). [PDF]

Microorganisms
Chow FC, Valente GLC, Santos VPF, Soares CF, Figueiredo HCP, Cançado SV, Figueiredo TC, Souza MR.   +7 more
europepmc   +1 more source

Spatially Informed Feature Selection and Machine Learning in Matrix‐Assisted Laser Desorption/Ionization Imaging for Cohort‐Scale Molecular Tissue Phenomics in Glioblastoma

Advanced Intelligent Discovery, EarlyView.
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed, Denis Abu Sammour, Dirk C. Hoffmann, Philipp Sievers, Tobias Bausbacher, Melissa Hahn, Yasemin Ucal, Iris Mildenberger, Christiane A. Opitz, Stefan Schmidt, Michael Platten, Oliver Wasenmüller, Wolfgang Wick, Andreas von Deimling, Tobias Kessler, Carsten Hopf   +15 more
wiley   +1 more source

Improving Microbial Quality of Ostrich Meat Using Mechanically Deboned Chicken Meat Protein Nanocomposite Coating Incorporated With <i>Ziziphora clinopodioides</i> Essential Oil and Eugenol During Cold Storage. [PDF]

Food Sci Nutr
Barkhordari H, Aminzare M, Hassanzadazar H, Alizadeh AM, Hashemi M, Tahergorabi R, Roohinejad S.   +6 more
europepmc   +1 more source

Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network

Advanced Intelligent Discovery, EarlyView.
We introduce DeepBat, a deep learning framework featuring a 1D convolutional backbone designed to extract latent degradation patterns from a microstructurally diverse electrode dataset. By learning complex formulation–performance relationships, the model accurately predicts long‐term specific discharge capacity using limited early‐cycle data, providing
Tao Huang, Bing Sun, Zhigang Chen, Chenyu Zhao, Eugene Bakker, Yaojie Lei, Lingfei Zhao, Shijian Wang, Chao Liu, Virginia Xiaojun He, Bahram Shirzadi, Hao Liu, Xin Xi, Ruiliu Liu, Dongqing Wu, Guodong Long, Guoxiu Wang   +16 more
wiley   +1 more source

Sustainable proteins for future food systems: nutritional quality, environmental trade-offs, and consumer acceptance. [PDF]

Front Nutr
Ali S, Ali B, Ahmad K, Zhang L, Jamal QMS.   +4 more
europepmc   +1 more source

Particle Swarm Optimization as a Noise‐Tolerant Strategy for High‐Entropy Alloy Research

Advanced Intelligent Discovery, EarlyView.
A customized particle swarm optimization algorithm is benchmarked against batch Bayesian optimization across four high‐entropy alloy oxygen‐reduction landscapes. While both methods locate the global optimum comparably under noise‐free conditions, Bayesian optimization’s surrogate model tends to overfit noisy data.
Ahmad Tirmidzi, Matthias Arenz, Vladislav A. Mints   +2 more
wiley   +1 more source

Camel milk <i>Lactococcus lactis</i> subsp. <i>cremoris</i>: a biocontrol agent against <i>Staphylococcus aureus</i> for fresh beef biopreservation. [PDF]

Front Nutr
Latreche B, Brahamia N, Bendjama E, Loucif L, Sanah I, Djeghim F, Messaoudi M, Giordano I, Rolain JM, D'Elia M, Rastrelli L, Becila S.   +11 more
europepmc   +1 more source