Chemical fingerprints are binary strings used to represent the distinctive features of molecules in order to efficiently support similarity search of chemical data. In large repositories, chemical fingerprints are conveniently stored in compressed format, although the lossy compression process may introduce a systematic error on similarity measures. Simple correction formulae have proposed by Swamidass and Baldi in [13] to compensate for such an error and, thus, to improve the similarity-based retrieval. Correction is based on deriving estimates for the weight (i.e., number of bits set to 1) of fingerprints before compression from their compressed values. Although the proposed correction has been substantiated by satisfactory experimental results, the way in which such estimates have been derived and the approximations applied in [13] are not fully convincing and, thus, deserve further investigation. In this direction, the contribution of this work is to provide some deeper insight on the fingerprint generation and compression process, which could constitute a more solid theoretical underpinning for the Swamidass and Baldi correction formulae.

On the Analysis of Compressed Chemical Fingerprints / Fabio Grandi. - STAMPA. - 11223:(2018), pp. 243-256. (Intervento presentato al convegno 11th International Conference on Similarity Search and Applications (SISAP 2018) tenutosi a Lima, Perù nel 7-9 Ottobre 2018) [10.1007/978-3-030-02224-2_19].

On the Analysis of Compressed Chemical Fingerprints

Fabio Grandi
2018

Abstract

Chemical fingerprints are binary strings used to represent the distinctive features of molecules in order to efficiently support similarity search of chemical data. In large repositories, chemical fingerprints are conveniently stored in compressed format, although the lossy compression process may introduce a systematic error on similarity measures. Simple correction formulae have proposed by Swamidass and Baldi in [13] to compensate for such an error and, thus, to improve the similarity-based retrieval. Correction is based on deriving estimates for the weight (i.e., number of bits set to 1) of fingerprints before compression from their compressed values. Although the proposed correction has been substantiated by satisfactory experimental results, the way in which such estimates have been derived and the approximations applied in [13] are not fully convincing and, thus, deserve further investigation. In this direction, the contribution of this work is to provide some deeper insight on the fingerprint generation and compression process, which could constitute a more solid theoretical underpinning for the Swamidass and Baldi correction formulae.
2018
Similarity Search and Applications - 11th International Conference, SISAP 2018 Lima, Peru, October 7–9, 2018 Proceedings
243
256
On the Analysis of Compressed Chemical Fingerprints / Fabio Grandi. - STAMPA. - 11223:(2018), pp. 243-256. (Intervento presentato al convegno 11th International Conference on Similarity Search and Applications (SISAP 2018) tenutosi a Lima, Perù nel 7-9 Ottobre 2018) [10.1007/978-3-030-02224-2_19].
Fabio Grandi
File in questo prodotto:
Eventuali allegati, non sono esposti

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/647966
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact