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Merck & Co rdkit
Rdkit, supplied by Merck & Co, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/rdkit/rdkit/pmc12748854-58-17-22
Average 86 stars, based on 1 article reviews
rdkit - by Bioz Stars, 2026-09
86/100 stars

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Preserving:

Article Title: Artificial intelligence in protein-based detection and inhibition of AMR pathways.
Article Snippet: 1 Department of Biotechnology, Institute of Engineering and Management, Kolkata, University of Engineering and Management, Kolkata, India 2 Department of Basic Science and Humanities, Institute of Engineering and Management, Kolkata, University of Engineering and Management, Kolkata, India 3 Department of Computer Science Engineering (Artificial Intelligence and Machine Learning), Institute of Engineering and Management, Kolkata, University of Engineering and Management, Kolkata, India 4 Department of Computer Science Engineering (Data Science), Institute of Engineering and Management, Kolkata, University of Engineering and Management, Kolkata, India 5 Department of Life Sciences, Sharda University, Noida, India 6 Institute of Engineering and E-Governance, Chandigarh University, Gharuan, Mohali, India 7 Center for Global Health Research, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), 602105, Chennai, Tamil Nadu, India Abstract Antimicrobial Resistance (AMR) is a global concern demanding high-throughput and precise AMR surveillance strategies.. This review provides a comprehensive list of Artificial Intelligence (AI) driven frameworks widely employed in the early detection, structural characterization, and designing of novel inhibitors to block the resistance pathways critical for AMR.. Deep learning algorithms including DeepGO, DeepGOPlus, DeepGO-SE, PFresGO, DPFunc, ProtENN and graph-based architectures of GraphSite, GrASP enables precise functional annotation of resistance-associated proteins.

Construct:

Article Title: Semi-inductive dataset construction and framework optimization for practical drug target interaction prediction with ScopeDTI.
Article Snippet: .. Compounds were annotated with identifiers from77 PubChem29 and ChEMBL30, and their 3D structures were constructed using RDKit and optimized with the Merck Molecular78 Force Field (MMFF)31. ..

Article Title: Semi-inductive dataset construction and framework optimization for practical drug target interaction prediction with ScopeDTI
Article Snippet: .. Compounds were annotated with identifiers from PubChem and ChEMBL , and their 3D structures were constructed using RDKit and optimized with the Merck Molecular Force Field (MMFF) . ..



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