scholarly journals Fragment-Based Ligand-Protein Contact Statistics: Application to Docking Simulations

2019 ◽  
Vol 20 (10) ◽  
pp. 2499 ◽  
Author(s):  
Gabriele Macari ◽  
Daniele Toti ◽  
Carlo Del Moro ◽  
Fabio Polticelli

In this work, the information contained in the contacts between fragments of small-molecule ligands and protein residues has been collected and its exploitability has been verified by using the scoring of docking simulations as a test case for bringing about a proof of concept. Contact statistics between small-molecule fragments and binding site residues were collected and analyzed using a dataset composed of 200,000+ binding sites and associated ligands, derived from the database of the LIBRA ligand binding site recognition software, as a starting point. The fragments were generated by applying the decomposition algorithm implemented in BRICS. A simple “potential” based on the contact frequencies was tested against the CASF-2013 benchmark; its performance was then evaluated through the rescoring of docking poses generated for the DUD-E dataset. The results obtained indicate that this approach, its simplicity notwithstanding, yields promising results that are comparable, and in some cases, superior, to those obtained with other, more complex scoring functions.

2019 ◽  
Author(s):  
Francesc Sabanés ◽  
Joao Victor de Souza Cunha ◽  
Roger Estrada-Tejedor ◽  
Agnieszka K Bronowska

<p>Signal transducer activator of transcription 3 (STAT3) is among the most investigated oncogenic transcription factors, as it is highly associated with cancer initiation, progression, metastasis, chemoresistance, and immune evasion. The recent evidence from both preclinical and clinical studies have demonstrated that STAT3 plays a critical role in several malignancies associated with poor prognosis such as glioblastoma and triple-negative breast cancer (TNBC), and STAT3 inhibitors have shown efficacy in inhibiting cancer growth and metastasis. Constitutive activation of STAT3 by mutations occurs frequently in tumour cells, and directly contributes to many malignant phenotypes. Unfortunately, detailed structural biology studies on STAT3 as well as target-based drug discovery efforts have been hampered by difficulties in the expression and purification of the full length STAT3 and a lack of ligand-bound crystal structures.</p><p>Considering these, molecular modelling and simulations offer an attractive strategy for the assessment of “druggability” of STAT3 dimers and allow investigations of reported activating and inhibiting STAT3 mutants at the atomistic level of detail. In the present study, we focused on the effects exerted by reported STAT3 mutations on the protein structure, dynamics, DNA binding and dimerisation, thus linking structure, dynamics, energetics, and the biological function. By employing atomistic molecular dynamics (MD) and umbrella sampling (US) simulations to a series of human STAT3 dimer, which comprised wild-type protein and four mutations; we explained the modulation of STAT3 activity by these mutations. Counter-intuitively, our results show that D570K inhibitory mutation exerts its effect by enhancing rather than weakening STAT3-DNA interactions, which interferes with the DNA release by the protein dimer and thus inhibits STAT3 function as a transcription factor. We mapped the binding site and characterised the binding mode of a clinical candidate napabucasin/BBI-608 at STAT3, which resembles the effect of D570K mutation. We also discovered a novel binding site at STAT3 DNA binding domain, amenable to bind small molecule ligands.</p><p>Our results contribute to understanding the activation/inhibition mechanism of STAT3, to explain the molecular mechanism of STAT3 inhibition by napabucasin/BBI-608. In this study, alongside the characterisation of the BBI-608 binding mode, we mapped a novel binding sites amenable to bind small molecule ligands, which may pave the way to design novel STAT3 inhibitors and to suggest new strategies for pharmacological intervention to combat cancers associated with poor prognosis.</p>


2001 ◽  
Vol 277 (9) ◽  
pp. 7363-7368 ◽  
Author(s):  
David V. Erbe ◽  
Suyue Wang ◽  
Yuzhe Xing ◽  
James F. Tobin

2012 ◽  
Vol 288 (1) ◽  
pp. 666-676 ◽  
Author(s):  
Ayna Alfadhli ◽  
Henry McNett ◽  
Jacob Eccles ◽  
Seyram Tsagli ◽  
Colleen Noviello ◽  
...  

2019 ◽  
Author(s):  
Francesc Sabanés ◽  
Joao Victor de Souza Cunha ◽  
Roger Estrada-Tejedor ◽  
Agnieszka K Bronowska

<p>Signal transducer activator of transcription 3 (STAT3) is among the most investigated oncogenic transcription factors, as it is highly associated with cancer initiation, progression, metastasis, chemoresistance, and immune evasion. The recent evidence from both preclinical and clinical studies have demonstrated that STAT3 plays a critical role in several malignancies associated with poor prognosis such as glioblastoma and triple-negative breast cancer (TNBC), and STAT3 inhibitors have shown efficacy in inhibiting cancer growth and metastasis. Constitutive activation of STAT3 by mutations occurs frequently in tumour cells, and directly contributes to many malignant phenotypes. Unfortunately, detailed structural biology studies on STAT3 as well as target-based drug discovery efforts have been hampered by difficulties in the expression and purification of the full length STAT3 and a lack of ligand-bound crystal structures.</p><p>Considering these, molecular modelling and simulations offer an attractive strategy for the assessment of “druggability” of STAT3 dimers and allow investigations of reported activating and inhibiting STAT3 mutants at the atomistic level of detail. In the present study, we focused on the effects exerted by reported STAT3 mutations on the protein structure, dynamics, DNA binding and dimerisation, thus linking structure, dynamics, energetics, and the biological function. By employing atomistic molecular dynamics (MD) and umbrella sampling (US) simulations to a series of human STAT3 dimer, which comprised wild-type protein and four mutations; we explained the modulation of STAT3 activity by these mutations. Counter-intuitively, our results show that D570K inhibitory mutation exerts its effect by enhancing rather than weakening STAT3-DNA interactions, which interferes with the DNA release by the protein dimer and thus inhibits STAT3 function as a transcription factor. We mapped the binding site and characterised the binding mode of a clinical candidate napabucasin/BBI-608 at STAT3, which resembles the effect of D570K mutation. We also discovered a novel binding site at STAT3 DNA binding domain, amenable to bind small molecule ligands.</p><p>Our results contribute to understanding the activation/inhibition mechanism of STAT3, to explain the molecular mechanism of STAT3 inhibition by napabucasin/BBI-608. In this study, alongside the characterisation of the BBI-608 binding mode, we mapped a novel binding sites amenable to bind small molecule ligands, which may pave the way to design novel STAT3 inhibitors and to suggest new strategies for pharmacological intervention to combat cancers associated with poor prognosis.</p>


2020 ◽  
Vol 16 (6) ◽  
pp. 784-795
Author(s):  
Krisnna M.A. Alves ◽  
Fábio José Bonfim Cardoso ◽  
Kathia M. Honorio ◽  
Fábio A. de Molfetta

Background:: Leishmaniosis is a neglected tropical disease and glyceraldehyde 3- phosphate dehydrogenase (GAPDH) is a key enzyme in the design of new drugs to fight this disease. Objective:: The present study aimed to evaluate potential inhibitors of GAPDH enzyme found in Leishmania mexicana (L. mexicana). Methods: A search for novel antileishmanial molecules was carried out based on similarities from the pharmacophoric point of view related to the binding site of the crystallographic enzyme using the ZINCPharmer server. The molecules selected in this screening were subjected to molecular docking and molecular dynamics simulations. Results:: Consensual analysis of the docking energy values was performed, resulting in the selection of ten compounds. These ligand-receptor complexes were visually inspected in order to analyze the main interactions and subjected to toxicophoric evaluation, culminating in the selection of three compounds, which were subsequently submitted to molecular dynamics simulations. The docking results showed that the selected compounds interacted with GAPDH from L. mexicana, especially by hydrogen bonds with Cys166, Arg249, His194, Thr167, and Thr226. From the results obtained from molecular dynamics, it was observed that one of the loop regions, corresponding to the residues 195-222, can be related to the fitting of the substrate at the binding site, assisting in the positioning and the molecular recognition via residues responsible for the catalytic activity. Conclusion:: he use of molecular modeling techniques enabled the identification of promising compounds as inhibitors of the GAPDH enzyme from L. mexicana, and the results obtained here can serve as a starting point to design new and more effective compounds than those currently available.


1992 ◽  
Vol 267 (35) ◽  
pp. 24941-24947
Author(s):  
J Zilliacus ◽  
A.P. Wright ◽  
U Norinder ◽  
J.A. Gustafsson ◽  
J Carlstedt-Duke

Allergy ◽  
2021 ◽  
Author(s):  
Maksymilian Chruszcz ◽  
Fook Tim Chew ◽  
Karin Hoffmann‐Sommergruber ◽  
Barry K. Hurlburt ◽  
Geoffrey A. Mueller ◽  
...  

2021 ◽  
Vol 22 (3) ◽  
pp. 1482 ◽  
Author(s):  
Machteld Sillen ◽  
Toshio Miyata ◽  
Douglas E. Vaughan ◽  
Sergei V. Strelkov ◽  
Paul J. Declerck

Plasminogen activator inhibitor-1 (PAI-1), a key regulator of the fibrinolytic system, is the main physiological inhibitor of plasminogen activators. By interacting with matrix components, including vitronectin (Vn), PAI-1 plays a regulatory role in tissue remodeling, cell migration, and intracellular signaling. Emerging evidence points to a role for PAI-1 in various pathological conditions, including cardiovascular diseases, cancer, and fibrosis. Targeting PAI-1 is therefore a promising therapeutic strategy in PAI-1-related pathologies. A class of small molecule inhibitors including TM5441 and TM5484, designed to bind the cleft in the central β-sheet A of PAI-1, showed to be potent PAI-1 inhibitors in vivo. However, their binding site has not yet been confirmed. Here, we report two X-ray crystallographic structures of PAI-1 in complex with TM5484. The structures revealed a binding site at the flexible joint region, which is distinct from the presumed binding site. Based on the structural analysis and biochemical data we propose a mechanism for the observed dose-dependent two-step mechanism of PAI-1 inhibition. By binding to the flexible joint region in PAI-1, TM5484 might restrict the structural flexibility of this region, thereby inducing a substrate form of PAI-1 followed by a conversion to an inert form.


1997 ◽  
Vol 23 (4) ◽  
pp. 835-845 ◽  
Author(s):  
Gary Sawers ◽  
Manuela Kaiser ◽  
Agnieszka Sirko ◽  
Martin Freundlich

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