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AUTODOCK GmbH dfcnn
Summary of DL models mentioned throughout the “ <xref ref-type= Deep learning and virtual screening ” section of this review used to aid in performing VS workflows" width="250" height="auto" />
Dfcnn, supplied by AUTODOCK GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/dfcnn/product/AUTODOCK GmbH
Average 90 stars, based on 1 article reviews
dfcnn - by Bioz Stars, 2026-05
90/100 stars
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Summary of DL models mentioned throughout the “ <xref ref-type= Deep learning and virtual screening ” section of this review used to aid in performing VS workflows" width="100%" height="100%">

Journal: Journal of Cheminformatics

Article Title: A beginner’s approach to deep learning applied to VS and MD techniques

doi: 10.1186/s13321-025-00985-7

Figure Lengend Snippet: Summary of DL models mentioned throughout the “ Deep learning and virtual screening ” section of this review used to aid in performing VS workflows

Article Snippet: DeepBindBC [ , ] , DFCNN that uses as input protein–ligand complex structures as generated by AutoDock Vina (thus considering spatial information) and that can estimate protein–ligand binding probabilities.

Techniques: Generated, Binding Assay, Drug discovery, In Silico, In Vitro, In Vivo, Plasmid Preparation, Diffusion-based Assay, Sequencing, Modification, Protein Binding, Sampling, Molecular Weight