DeepBindPoc is a deep learning based method for identifying highly potential pocket for given ligand from a fpocket generated pocket decoys set of the given protein .

Submit a job (single mode)

Protein PDB file
Ligand file
(PDB format)
Input example of single mode

Email address

Brief description
(Optional, 100 characters max)

Submit a job (batch mode)

Proteins and corresponding ligands zip file
Input example of batch mode

Email address

Brief description
(Optional, 100 characters max)

References

DeepBindPoc: a deep learning method to rank ligand binding pockets using molecular vector representation. PeerJ. https://doi.org/10.7717/peerj.8864, Haiping Zhang, Konda Mani Saravanan, Jinzhi Lin, Linbu Liao, Jiaxiu Zhou & Yanjie Wei*

Copyright © 2015 High Performance Computing Center, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences| siat.cas.cn
Questions or comments? Contact Yanjie Wei | Last updated 29 October 2015