About

The chemical structure must fullfil the following requirements:

• Structure should be uncharged or charges should be balanced

• Only single, double and triple bonds are allowed

• Structure should contain at least 3 carbon atoms

• Structure should contain only one component, single atoms are not considered

• Absolute molecular weight should exceed 1250

General information:

Proteins of the human body constitute large and important subset of the therapeutic targets, here is the tool to predict human protein targets, which could be affected by the given chemical structure, freely available version of the PASS Targets [1]:

• Chemical and biological data were extracted from ChEMBL v36 [2].

• Using these data classifiers were build using PASS software [3].

• In addition to the PASS prediction, summary of the protein classes (as defined in ChEMBL) and GO-terms (slim version) [4] describing biological processes are provided to the users.

Ongoing update from february 2026: RDKit.JS is now used for the intial chemical structure processing [5] instead of the MarvinJS (https://chemaxon.com/). Also, the code is available via GitHub:

https://github.com/pavelVPo/IBMC_LSFBD_webApp_PASS_human_protein_targets__2026

References: 1. Pogodin, P. V., et al. (2015), PASS Targets: Ligand-based multi-target computational system based on a public data and naïve Bayes approach. SAR and QSAR in Environmental Research, 26(10), 783-793. 2. Filimonov, D. A., et al. (2014). Prediction of the biological activity spectra of organic compounds using the PASS online web resource. Chemistry of Heterocyclic Compounds, 50(3), 444-457. 3. Gaulton, A., et al. (2016), The ChEMBL database in 2017. Nucleic acids research, 45(D1), D945-D954. 4. Mutowo, Prudence, et al. "A drug target slim: using gene ontology and gene ontology annotations to navigate protein-ligand target space in ChEMBL." Journal of biomedical semantics 7.1 (2016): 59. 5. Landrum, G. (2013). Rdkit documentation. Release, 1(1-79), 4.

Interpretation

This app allows user to predict interaction with the human protein targets. The scores for each compound is expressed as a difference between probabilities for chemical compound to interact and to not to interact with the particular protein target, which are computed using PASS software based on the data from ChEMBL.

Only protein targets with Pa > Pi (score > 0) are considered as possible for a particular compound and provided to the user.

The higher the scores, the higher the chances for the compound to be found active in the experiment against this particular protein.

I.e., interpretation of the results is quite simple: the higher the scores - the higher the chances for the compound to be found active in the experiment. Detailed explanation of how to interpet the results of PASS is given in this publication

Contacts

Laboratory for Structure-Function Based Drug Design, Department for Bioinformatics, Institute of Biomedical Chemistry (IBMC) Pogodinskaya Str. 10, Moscow, Russia, 119121

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• Way2Drug Team Tel: +7 499 246-09-20 Fax: +7 499 245-08-57 E-mail: pass@ibmc.msk.ru

• pogodinpv@ibmc.msk.ru

• pogodinpv@gmail.com

Please, use the chemical editor of your choice to draw and prepare the chemical structure for prediction

Dedicated software of users' choice for chemical drawing is the way to not to restrict the users' choice and to allow them to comply with their own requirements.

One of the web tools having free base functionality for the researchers from academia is MolView, https://molview.org/

For the details on licensing of the current version of the MolView, please SEE: https://molview.com/subscriptions/

To use it:

In the future we will consider other options for chemical drawing.