Results 151 to 160 of about 14,571 (201)

AlphaFold3 prediction of protein-protein complex: Is it ready for thermodynamic analysis? [PDF]

Comput Struct Biotechnol J
Liu X, Pang K, Wu H, Chong B, Yin Z, Sun Z, Wang X.   +6 more
europepmc   +1 more source

Transfer Learning Approaches in Bioprocess Engineering: Opportunities and Challenges

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Transfer learning (TL) has recently emerged as a promising approach to overcoming one of the key limitations of bioprocess engineering: data scarcity. By leveraging knowledge from one bioprocess to another, TL allows existing models and data sets to be reused efficiently, accelerating process development, improving prediction accuracy, and ...
Daniel Barón Díaz, Anna‐Lena Drommershausen, Alexander Grünberger, Dirk Holtmann   +3 more
wiley   +1 more source

Improving the learning experience in an undergraduate course on microbial metabolism by using an illustrated story

Biochemistry and Molecular Biology Education, Volume 53, Issue 2, Page 131-141, March/April 2025.
Abstract In the classroom, metabolism is often approached and received as a mundane exercise in memorization. Teaching metabolism also faces the challenge of negative perceptions that can impede learning. We sought to improve the learning experience in an undergraduate lecture course on microbial metabolism by implementing an illustrated story that ...
James B. McKinlay, Katherine Kearns
wiley   +1 more source

Screening of peptide inhibitors targeting YAP-TEAD4 interaction: affinity evaluation and anti-AML cell activity. [PDF]

J Enzyme Inhib Med Chem
Yang X, Yang S, Lin G, Chen S, Jiang H, Wang Y, Zhang Y, Zhang X.   +7 more
europepmc   +1 more source

Vacancy defect‐induced electron homing breaks phosphodiester bonds for RNA depletion‐driven cancer therapy

BMEMat, EarlyView.
Illustration of 5% S‐vacancy Bi2S3 mediated phosphodiester bonds cleavage in RNA of hepatocellular carcinoma cells, which suppressing ERI3 expression, inhibiting cell proliferation and promoting apoptosis. Abstract Genome‐wide hypertranscription is a hallmark of malignant progression.
Chuncheng Yang, Zehao Shen, Guangming Xiang, Zhe Liu, Huaxin Liu, Jiabei Li, Ao Wang, Yelin Wu, Peiran Zhao, Xingwu Jiang, Jinghan Wang, Xiaoqing Jiang, Wenbo Bu   +12 more
wiley   +1 more source

Determination of CO₂ Solubility in Water by NIR Spectroscopy under Different Temperature and Pressure Conditions. [PDF]

ACS Omega
da Silveira LA, Lima LMO, Rodrigues da Cunha T, Serpa FS, Souza RL, Fontes RA, da Silva GMLL, da Silva MT, Silva JM, Cavalcante Freitas T, Sacorague LA, Dariva C, Corazza ML, Franceschi E.   +13 more
europepmc   +1 more source

Machine Learning‐Driven Prediction and Optimization of Cu‐Based Catalysts for CO2 Hydrogenation to Methanol

Carbon and Hydrogen, EarlyView.
A machine‐learning framework integrating multimodel prediction, feature selection, and SHAP interpretability is developed to uncover structure–performance relationships of Cu‐based CO2‐to‐methanol catalysts. The optimized XGBoost model and an online prediction platform enable accurate selectivity prediction and data‐driven catalyst design.
Conglong Su, Zhangkai Jing, Qiuming Zhou, Yuan Zhu, Sishi Ye, Tianye Wang, Kuo Chen, Xuebin Luan, Zhigang Tang, Run Xu, Chaopeng Hou, Hongwei Li   +11 more
wiley   +1 more source

Solubility, speciation and thermodynamics of Fe in reducing aqueous KCl solutions. [PDF]

RSC Adv
Fürst PQ, Çevirim-Papaioannou N, Gaona X, Garbev K, Roth T, Hagemann S, Altmaier M, Geckeis H.   +7 more
europepmc   +1 more source

Computational and Machine‐Learning Studies of Ethylene Oligomerization

Carbon and Hydrogen, EarlyView.
This review focuses on recent advances in computational and machine‐learning studies of ethylene oligomerization, highlighting mainstream catalyst systems based on Co, Ta, Ti, Zr, and Hf, with particular emphasis on Fe‐ and Cr‐based catalysts and their controlling factors governing reactivity and LAO distribution.
Zhixin Qin, Zhihui Song, Heying Feng, Li Jin   +3 more
wiley   +1 more source

Rapid Authentication of Flowers of <i>Panax ginseng</i> and <i>Panax notoginseng</i> Using High-Resolution Melting (HRM) Analysis. [PDF]

Molecules
Wang M, Li W, Zuo Y, Jiang Q, Li J, Zhang W, Meng X.   +6 more
europepmc   +1 more source