PBITV3

Pipeline Builder for Identification of Targets

Druggability analysis

Druggability analysis

Druggability is the ability of a protein to bind to a drug-like molecule. This module aids to screen druggable targets in the input sequences based on their sequence similarity to known druggable targets. Sequence similarity is computed by BLAST algorithm and the sequence information for 18002 druggable targets from Drugbank[1](Version 5.0),Therapeutic Target Database(TTD)[2] and ChEMBL[3] database.

Upload file containing protein sequence/s in Fasta format:

OR
Paste protein sequence/s in Fasta format:
(Example)
    
Database:
Drugbank TTD ChEMBL

E-value <

Display results with alignment length cutoff
%
    
References:
  1. Wishart DS, Feunang YD, Guo AC, Lo EJ, Marcu A, Grant JR, Sajed T, Johnson D, Li C, Sayeeda Z, Assempour N, Iynkkaran I, Liu Y, Maciejewski A, Gale N, Wilson A, Chin L, Cummings R, Le D, Pon A, Knox C, Wilson M. DrugBank 5.0: a major update to the DrugBank database for 2018. Nucleic Acids Res. 2017 Nov 8. doi: 10.1093/nar/gkx1037.

  2. Y. Zhou, Y. T. Zhang, X. C. Lian, F. C. Li, C. X. Wang, F. Zhu*, Y. Q. Qiu* and Y. Z. Chen*. Therapeutic target database update 2022: facilitating drug discovery with enriched comparative data of targeted agents. Nucleic Acids Research. 50(D1): 1398-1407 (2022). PubMed ID: 34718717

  3. Mendez D, Gaulton A, Bento AP, Chambers J, De Veij M, Félix E, Magariños MP, Mosquera JF, Mutowo P, Nowotka M, et al. (2019) ChEMBL: towards direct deposition of bioassay data. Nucleic Acids Res. [Internet] 47:D930–D940. Available from: https://dx.doi.org/10.1093/nar/gky1075

PBIT-V3