Results 161 to 170 of about 87,324 (347)

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

The future of pharmacology and therapeutics of the arachidonic acid cascade in the next decade: Innovative advancements in drug repurposing

Frontiers in Pharmacology
Many drugs can act on multiple targets or disease pathways, regardless of their original purpose. Drug repurposing involves reevaluating existing compounds for new medical uses. This can include repositioning approved drugs, redeveloping unapproved drugs,
Paola Patrignani, Paola Patrignani, Annalisa Contursi, Annalisa Contursi, Stefania Tacconelli, Stefania Tacconelli, Dieter Steinhilber   +6 more
doaj   +1 more source

From Business model to Business model portfolio in the european biopharmaceutical industry [PDF]

At the crossroad of firm's core competencies and of the anticipations of consumers' needs, the business model approach complements corporate and business strategy approaches.
Tristan Rouselle, Valérie Sabatier, Vincent Mangematin   +2 more
core  

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
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, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

IUPHAR review – Data-driven computational drug repurposing approaches for opioid use disorder

Pharmacological Research
Opioid Use Disorder (OUD) is a chronic and relapsing condition characterized by the misuse of opioid drugs, causing significant morbidity and mortality in the United States.
Zhenxiang Gao, Pingjian Ding, Rong Xu
doaj   +1 more source

DeepH-DTA: Deep Learning for Predicting Drug-Target Interactions: A Case Study of COVID-19 Drug Repurposing [PDF]

, 2020
Mohamed Abdel‐Basset, Hossam Hawash, Mohamed Elhoseny, Ripon K. Chakrabortty, Michael J. Ryan   +4 more
openalex   +1 more source

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

Advanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng, Sharon Ai Er Lam, Wei Chun Lim, Hannah Hui Min Toh, Shi Jun Ang   +4 more
wiley   +1 more source

Editorial: Translational Research and Drug Repurposing for Non-Communicable Diseases (NCDs) [PDF]

, 2022
Abidemi J. Akindele, Amos A. Fatokun, Ikemefuna C. Uzochukwu, Vanessa Steenkamp, Christian Agyare, Oluwole B. Familoni, Margaret O. James   +6 more
openalex   +1 more source

Real‐Time, Label‐Free Classification of Cell Death Pathways via Holotomography‐Based Deep Learning Framework

Advanced Intelligent Systems, EarlyView.
A 3D holotomography system coupled with a deep learning model distinguishes how cells die—apoptosis, necroptosis or necrosis—without any fluorescent labels. Training on refractive index maps of HeLa cells yields 97% accuracy and flags necroptosis hours before chemical dyes.
Minwook Kim, Wei Sun Park, Geon Kim, Sanggeun Oh, Jaephil Do, Juyeon Park, Jihwan Yu, Won Do Heo, YongKeun Park   +8 more
wiley   +1 more source

Unnatural Amino Acid and Emerging Chemistry Approaches to Map RNA–Protein Interactions

Angewandte Chemie, EarlyView.
This review highlights emerging chemistries for mapping RNA–protein interactions, including genetically encoded unnatural amino acids, novel photocrosslinkers, and non‐photoactivatable crosslinking systems. We compare their mechanisms, reactivity and applications, outlining how these next‐generation tools enable higher‐resolution, site‐specific ...
Eryn Lundrigan, Parrish Evers, Elexa Scott, John Paul Pezacki   +3 more
wiley   +2 more sources