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Artificial intelligence to deep learning: machine intelligence approach for drug discovery
Drug designing and development is an important area of research for pharmaceutical
companies and chemical scientists. However, low efficacy, off-target delivery, time …
companies and chemical scientists. However, low efficacy, off-target delivery, time …
Ensemble docking in drug discovery
Ensemble docking corresponds to the generation of an" ensemble" of drug target
conformations in computational structure-based drug discovery, often obtained by using …
conformations in computational structure-based drug discovery, often obtained by using …
A compact vocabulary of paratope-epitope interactions enables predictability of antibody-antigen binding
Antibody-antigen binding relies on the specific interaction of amino acids at the paratope-
epitope interface. The predictability of antibody-antigen binding is a prerequisite for de novo …
epitope interface. The predictability of antibody-antigen binding is a prerequisite for de novo …
Big data and artificial intelligence (AI) methodologies for computer-aided drug design (CADD)
JW Lee, MA Maria-Solano, TNL Vu… - Biochemical Society …, 2022 - portlandpress.com
There have been numerous advances in the development of computational and statistical
methods and applications of big data and artificial intelligence (AI) techniques for computer …
methods and applications of big data and artificial intelligence (AI) techniques for computer …
Improving structure-based virtual screening with ensemble docking and machine learning
One of the main challenges of structure-based virtual screening (SBVS) is the incorporation
of the receptor's flexibility, as its explicit representation in every docking run implies a high …
of the receptor's flexibility, as its explicit representation in every docking run implies a high …
Artificial intelligence facilitates drug design in the big data era
L Wang, J Ding, L Pan, D Cao, H Jiang… - … and Intelligent Laboratory …, 2019 - Elsevier
With the dramatic development of high-performance computing, the emergence of better
algorithms and the accumulation of large amounts of chemical and biological data, computer …
algorithms and the accumulation of large amounts of chemical and biological data, computer …
Applications of artificial intelligence to drug design and discovery in the big data era: A comprehensive review
Artificial intelligence (AI) renders cutting-edge applications in diverse sectors of society. Due
to substantial progress in high-performance computing, the development of superior …
to substantial progress in high-performance computing, the development of superior …
Interaction prediction in structure-based virtual screening using deep learning
We introduce a deep learning architecture for structure-based virtual screening that
generates fixed-sized fingerprints of proteins and small molecules by applying learnable …
generates fixed-sized fingerprints of proteins and small molecules by applying learnable …
[HTML][HTML] The role of artificial intelligence in the development of anticancer therapeutics from natural polyphenols: Current advances and future prospects
Y Zheng, Y Ma, Q **ong, K Zhu, N Weng… - Pharmacological Research, 2024 - Elsevier
Natural polyphenols, abundant in the human diet, are derived from a wide variety of sources.
Numerous preclinical studies have demonstrated their significant anticancer properties …
Numerous preclinical studies have demonstrated their significant anticancer properties …
Worth the weight: Sub-Pocket EXplorer (SubPEx), a weighted ensemble method to enhance binding-pocket conformational sampling
Structure-based virtual screening (VS) is an effective method for identifying potential small-
molecule ligands, but traditional VS approaches consider only a single binding-pocket …
molecule ligands, but traditional VS approaches consider only a single binding-pocket …