Fpocket: An open source platform for ligand pocket detection

<p>Abstract</p> <p>Background</p> <p>Virtual screening methods start to be well established as effective approaches to identify hits, candidates and leads for drug discovery research. Among those, structure based virtual screening (SBVS) approaches aim at docking collections of small compounds in the target structure to identify potent compounds. For SBVS, the identification of candidate pockets in protein structures is a key feature, and the recent years have seen increasing interest in developing methods for pocket and cavity detection on protein surfaces.</p> <p>Results</p> <p>Fpocket is an open source pocket detection package based on Voronoi tessellation and alpha spheres built on top of the publicly available package Qhull. The modular source code is organised around a central library of functions, a basis for three main programs: (i) Fpocket, to perform pocket identification, (ii) Tpocket, to organise pocket detection benchmarking on a set of known protein-ligand complexes, and (iii) Dpocket, to collect pocket descriptor values on a set of proteins. Fpocket is written in the C programming language, which makes it a platform well suited for the scientific community willing to develop new scoring functions and extract various pocket descriptors on a large scale level. Fpocket 1.0, relying on a simple scoring function, is able to detect 94% and 92% of the pockets within the best three ranked pockets from the holo and apo proteins respectively, outperforming the standards of the field, while being faster.</p> <p>Conclusion</p> <p>Fpocket provides a rapid, open source and stable basis for further developments related to protein pocket detection, efficient pocket descriptor extraction, or drugablity prediction purposes. Fpocket is freely available under the GNU GPL license at <url>http://fpocket.sourceforge.net</url>.</p

Ligand scaffold hopping combining 3D maximal substructure search and molecular similarity

International audienceBACKGROUND: Virtual screening methods are now well established as effective to identify hit and lead candidates and are fully integrated in most drug discovery programs. Ligand-based approaches make use of physico-chemical, structural and energetics properties of known active compounds to search large chemical libraries for related and novel chemotypes. While 2D-similarity search tools are known to be fast and efficient, the use of 3D-similarity search methods can be very valuable to many research projects as integration of "3D knowledge" can facilitate the identification of not only related molecules but also of chemicals possessing distant scaffolds as compared to the query and therefore be more inclined to scaffolds hopping. To date, very few methods performing this task are easily available to the scientific community. RESULTS: We introduce a new approach (LigCSRre) to the 3D ligand similarity search of drug candidates. It combines a 3D maximum common substructure search algorithm independent on atom order with a tunable description of atomic compatibilities to prune the search and increase its physico-chemical relevance. We show, on 47 experimentally validated active compounds across five protein targets having different specificities, that for single compound search, the approach is able to recover on average 52% of the co-actives in the top 1% of the ranked list which is better than gold standards of the field. Moreover, the combination of several runs on a single protein target using different query active compounds shows a remarkable improvement in enrichment. Such Results demonstrate LigCSRre as a valuable tool for ligand-based screening. CONCLUSION: LigCSRre constitutes a new efficient and generic approach to the 3D similarity screening of small compounds, whose flexible design opens the door to many enhancements. The program is freely available to the academics for non-profit research at: http://bioserv.rpbs.univ-paris-diderot.fr/LigCSRre.html

aes, the gene encoding the esterase B in Escherichia coli, is a powerful phylogenetic marker of the species

<p>Abstract</p> <p>Background</p> <p>Previous studies have established a correlation between electrophoretic polymorphism of esterase B, and virulence and phylogeny of <it>Escherichia coli</it>. Strains belonging to the phylogenetic group B2 are more frequently implicated in extraintestinal infections and include esterase B₂variants, whereas phylogenetic groups A, B1 and D contain less virulent strains and include esterase B₁variants. We investigated esterase B as a marker of phylogeny and/or virulence, in a thorough analysis of the esterase B-encoding gene.</p> <p>Results</p> <p>We identified the gene encoding esterase B as the acetyl-esterase gene (<it>aes</it>) using gene disruption. The analysis of <it>aes </it>nucleotide sequences in a panel of 78 reference strains, including the <it>E. coli </it>reference (ECOR) strains, demonstrated that the gene is under purifying selection. The phylogenetic tree reconstructed from <it>aes </it>sequences showed a strong correlation with the species phylogenetic history, based on multi-locus sequence typing using six housekeeping genes. The unambiguous distinction between variants B₁and B₂by electrophoresis was consistent with Aes amino-acid sequence analysis and protein modelling, which showed that substituted amino acids in the two esterase B variants occurred mostly at different sites on the protein surface. Studies in an experimental mouse model of septicaemia using mutant strains did not reveal a direct link between <it>aes </it>and extraintestinal virulence. Moreover, we did not find any genes in the chromosomal region of <it>aes </it>to be associated with virulence.</p> <p>Conclusion</p> <p>Our findings suggest that <it>aes </it>does not play a direct role in the virulence of <it>E. coli </it>extraintestinal infection. However, this gene acts as a powerful marker of phylogeny, illustrating the extensive divergence of B2 phylogenetic group strains from the rest of the species.</p

In Silico and In Vivo Studies of a Tumor-Penetrating and Interfering Peptide with Antitumoral Effect on Xenograft Models of Breast Cancer

The combination of a tumor-penetrating peptide (TPP) with a peptide able to interfere witha given protein–protein interaction (IP) is a promising strategy with potential clinical application.Little is known about the impact of fusing a TPP with an IP, both in terms of internalization andfunctional effect. Here, we analyze these aspects in the context of breast cancer, targeting PP2A/SET interaction, using both in silico and in vivo approaches. Our results support the fact that state-of-theart deep learning approaches developed for protein–peptide interaction modeling can reliably identify good candidate poses for the IP-TPP in interaction with the Neuropilin-1 receptor. The association of the IP with the TPP does not seem to affect the ability of the TPP to bind to Neuropilin-1. Molecular simulation results suggest that peptide IP-GG-LinTT1 in a cleaved form interacts with Neuropilin-1 in a more stable manner and has a more helical secondary structure than the cleaved IP-GG-iRGD.Surprisingly, in silico investigations also suggest that the non-cleaved TPPs can bind the Neuropilin-1 in a stable manner. The in vivo results using xenografts models show that both bifunctional peptides resulting from the combination of the IP and either LinTT1 or iRGD are effective against tumoral growth. The peptide iRGD-IP shows the highest stability to serum proteases degradation while having the same antitumoral effect as Lin TT1-IP, which is more sensitive to proteases degradation.Our results support the development of the TPP-IP strategy as therapeutic peptides against cancerFacultad de Ciencias Médica

Probing the quality control mechanism of theEscherichia colitwin-arginine translocase with folding variants of ade novo-designed heme protein

Protein transport across the cytoplasmic membrane of bacterial cells is mediated by either the general secretion (Sec) system or the twin arginine translocase (Tat). The Tat machinery exports folded and cofactor containing proteins from the cytoplasm to the periplasm by using the transmembrane proton motive force as a source of energy. The Tat apparatus apparently senses the folded state of its protein substrates, a quality control mechanism that prevents premature export of nascent unfolded or misfolded polypeptides, but its mechanistic basis has not yet been determined. Here, we investigated the innate ability of the model Escherichia coli Tat system to recognize and translocate de novo-designed protein substrates with experimentally determined differences in the extent of folding. Water-soluble, four-helix bundle maquette proteins were engineered to bind two, one or no heme b cofactors, resulting in a concomitant reduction in the extent of their folding, assessed with temperature-dependent CD spectroscopy and one-dimensional 1H NMR spectroscopy. Fusion of the archetypal N-terminal Tat signal peptide of the E. coli trimethylamine-N-oxide (TMAO) reductase (TorA) to the N-terminus of the protein maquettes was sufficient for the Tat system to recognize them as substrates. The clear correlation between the level of Tat-dependent export and the degree of heme b-induced folding of the maquette protein suggested that the membrane-bound Tat machinery can sense the extent of folding and conformational flexibility of its substrates. We propose that these artificial proteins are ideal substrates for future investigations of the Tat system’s quality control mechanism

Modelisation moleculaire: generation de conformations proteiques par deformation de la chaine peptidique et prediction des chaines laterales

SIGLEAvailable from INIST (FR), Document Supply Service, under shelf-number : T 78969 / INIST-CNRS - Institut de l'Information Scientifique et TechniqueFRFranc

La molécule sur écran

National audienceComprendre les maladies au niveau moléculaire, afin de concevoir des médicaments mieux ciblés, est l’une des principales retombées attendues de l’analyse de la structure tridimensionnelle des molécules biologiques

Assessing 3D scores for protein structure fragment mining

International audienc

Bioinformatique appliquée à la prédiction de structure de peptides

PARIS7-Bibliothèque centrale (751132105) / SudocSudocFranceF

Analyse approfondie des conformations des chaînes latérales des protéines

PARIS7-Bibliothèque centrale (751132105) / SudocSudocFranceF