Artificial intelligence to deep learning: machine intelligence approach for drug discovery

R Gupta, D Srivastava, M Sahu, S Tiwari, RK Ambasta… - Molecular …, 2021 - Springer
Drug designing and development is an important area of research for pharmaceutical
companies and chemical scientists. However, low efficacy, off-target delivery, time …

Ensemble docking in drug discovery

RE Amaro, J Baudry, J Chodera, Ö Demir… - Biophysical journal, 2018 - cell.com
Ensemble docking corresponds to the generation of an" ensemble" of drug target
conformations in computational structure-based drug discovery, often obtained by using …

A compact vocabulary of paratope-epitope interactions enables predictability of antibody-antigen binding

R Akbar, PA Robert, M Pavlović, JR Jeliazkov… - Cell Reports, 2021 - cell.com
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 …

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 …

Improving structure-based virtual screening with ensemble docking and machine learning

J Ricci-Lopez, SA Aguila, MK Gilson… - Journal of chemical …, 2021 - ACS Publications
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 …

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 …

Applications of artificial intelligence to drug design and discovery in the big data era: A comprehensive review

N Tripathi, MK Goshisht, SK Sahu, C Arora - Molecular Diversity, 2021 - Springer
Artificial intelligence (AI) renders cutting-edge applications in diverse sectors of society. Due
to substantial progress in high-performance computing, the development of superior …

Interaction prediction in structure-based virtual screening using deep learning

A Gonczarek, JM Tomczak, S Zaręba, J Kaczmar… - Computers in biology …, 2018 - Elsevier
We introduce a deep learning architecture for structure-based virtual screening that
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 …

Worth the weight: Sub-Pocket EXplorer (SubPEx), a weighted ensemble method to enhance binding-pocket conformational sampling

E Hellemann, JD Durrant - Journal of Chemical Theory and …, 2023 - ACS Publications
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 …