2 citations · 3 across the 3 of their papers we have counts for
3 papers
q-bio.QM2024★ 2 cited
Accelerating Discovery of Novel and Bioactive Ligands With Pharmacophore-Informed Generative Models
Weixin Xie, Jianhang Zhang, Qin Xie +4
Deep generative models have gained significant advancements to accelerate drug discovery by generating bioactive chemicals against desired targets. Nevertheless, most generated com…
cs.CV2022
MolMiner: You only look once for chemical structure recognition
Youjun Xu, Jinchuan Xiao, Chia-Han Chou +13
Molecular structures are always depicted as 2D printed form in scientific documents like journal papers and patents. However, these 2D depictions are not machine-readable. Due to a…
q-bio.QM2021★ 1 cited
Deep Learning Model of Dock by Dock Process Significantly Accelerate the Process of Docking-based Virtual Screening
Wei Ma, Qin Xie, Jianhang Zhang +4
Docking-based virtual screening (VS process) selects ligands with potential pharmacological activities from millions of molecules using computational docking methods, which greatly…