loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: M. Bicego 1 ; A. D. Favia 2 ; P. Bisignano 2 ; A. Cavalli 2 and V. Murino 1

Affiliations: 1 Istituto Italiano di Tecnologia and University of Verona, Italy ; 2 Istituto Italiano di Tecnologia, Italy

Keyword(s): Protein similarity, 3D points alignment, Iterative closest point, Drug design, Multitarget.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; BioInformatics & Pattern Discovery ; Clustering and Classification Methods ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Symbolic Systems

Abstract: This paper deals with a novel computational approach that aims to measure the similarities of protein binding sites through comparison of atomic grid maps. The assessment of structural similarity between proteins is a longstanding goal in biology and in structure-based drug design. Instead of focusing on standard structural alignment techniques, mostly based on superposition of common structural elements, the proposed approach starts from a physicochemical description of the proteins’ binding site. We call these atomic grid maps. These maps are preprocessed to reduce the dimensionality of the data while retaining the relevant information. Then, we devise an alignment-based similarity measure, based on a rigid registration algorithm (the Iterative Closest Point –ICP). The proposed approach, tested on a real dataset involving 22 proteins, has shown encouraging results in comparison with standard procedures.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 44.192.94.177

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Bicego, M.; D. Favia, A.; Bisignano, P.; Cavalli, A. and Murino, V. (2011). AN INNOVATIVE PROTOCOL FOR COMPARING PROTEIN BINDING SITES VIA ATOMIC GRID MAPS. In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2011) - KDIR; ISBN 978-989-8425-79-9; ISSN 2184-3228, SciTePress, pages 405-414. DOI: 10.5220/0003637404130422

@conference{kdir11,
author={M. Bicego. and A. {D. Favia}. and P. Bisignano. and A. Cavalli. and V. Murino.},
title={AN INNOVATIVE PROTOCOL FOR COMPARING PROTEIN BINDING SITES VIA ATOMIC GRID MAPS},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2011) - KDIR},
year={2011},
pages={405-414},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003637404130422},
isbn={978-989-8425-79-9},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2011) - KDIR
TI - AN INNOVATIVE PROTOCOL FOR COMPARING PROTEIN BINDING SITES VIA ATOMIC GRID MAPS
SN - 978-989-8425-79-9
IS - 2184-3228
AU - Bicego, M.
AU - D. Favia, A.
AU - Bisignano, P.
AU - Cavalli, A.
AU - Murino, V.
PY - 2011
SP - 405
EP - 414
DO - 10.5220/0003637404130422
PB - SciTePress