Literature DB >> 16267690

Why relevant chemical information cannot be exchanged without disclosing structures.

Dmitry Filimonov1, Vladimir Poroikov.   

Abstract

Both society and industry are interested in increasing the safety of pharmaceuticals. Potentially dangerous compounds could be filtered out at early stages of R&D by computer prediction of biological activity and ADMET characteristics. Accuracy of such predictions strongly depends on the quality & quantity of information contained in a training set. Suggestion that some relevant chemical information can be added to such training sets without disclosing chemical structures was generated at the recent ACS Symposium. We presented arguments that such safety exchange of relevant chemical information is impossible. Any relevant information about chemical structures can be used for search of either a particular compound itself or its close analogues. Risk of identifying such structures is enough to prevent pharma industry from relevant chemical information exchange.

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Year:  2005        PMID: 16267690     DOI: 10.1007/s10822-005-9014-2

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  8 in total

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5.  How to acquire new biological activities in old compounds by computer prediction.

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Review 6.  The art and practice of structure-based drug design: a molecular modeling perspective.

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  8 in total
  7 in total

1.  Descriptor collision and confusion: toward the design of descriptors to mask chemical structures.

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Journal:  J Comput Aided Mol Des       Date:  2005-12-02       Impact factor: 3.686

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6.  Building attention and edge message passing neural networks for bioactivity and physical-chemical property prediction.

Authors:  M Withnall; E Lindelöf; O Engkvist; H Chen
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7.  Development of an Infrastructure for the Prediction of Biological Endpoints in Industrial Environments. Lessons Learned at the eTOX Project.

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  7 in total

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