DeepAden - Adenylation Domain Substrate Specificity Prediction

Input sequence or file

Paste FASTA sequence(s).

Upload file

Upload a FASTA file.

Upload a GBK file.

Upload a genome file.

Top k predictions

Number of top-ranked substrates to output (k):

Model weight

all.weight (recommended)

benchmark.weight

all.weight: Model trained on all available data.
benchmark.weight: Model optimized for 201 benchmark datasets.

Optional: upload your own substrate file(s) in SMILES format

Yes

Email address (optional, results will be sent here)

Reference

Jiaquan Huang#, Liangjun Ge#, Yaxin Wu#, Qiandi Gao, Pan Li, Jun Wu, Heqian Zhang*, Zhiwei Qin*. DeepAden: an explainable machine learning for substrate specificity prediction in nonribosomal peptide synthetases. BioRxiv. https://doi.org/10.1101/2025.05.21.655435

Contact: z.qin@bnu.edu.cn, jiaquan_terry@bnu.edu.cn