scholarly journals Fi-score: a novel approach to characterise protein topology and aid in drug discovery studies

Author(s):  
Austė Kanapeckaitė ◽  
Claudia Beaurivage ◽  
Matthew Hancock ◽  
Erik Verschueren
2017 ◽  
Vol 13 (7S_Part_13) ◽  
pp. P662-P663
Author(s):  
Christina M. Coughlan ◽  
Athena Wang ◽  
Lisa Viltz ◽  
Heidi J. Chial ◽  
Huntington Potter

Molecules ◽  
2019 ◽  
Vol 24 (18) ◽  
pp. 3352 ◽  
Author(s):  
Carlos Alvarado ◽  
Erik Stahl ◽  
Karissa Koessel ◽  
Andrew Rivera ◽  
Brian R. Cherry ◽  
...  

The Focal Adhesion Targeting (FAT) domain of Focal Adhesion Kinase (FAK) is a promising drug target since FAK is overexpressed in many malignancies and promotes cancer cell metastasis. The FAT domain serves as a scaffolding protein, and its interaction with the protein paxillin localizes FAK to focal adhesions. Various studies have highlighted the importance of FAT-paxillin binding in tumor growth, cell invasion, and metastasis. Targeting this interaction through high-throughput screening (HTS) provides a challenge due to the large and complex binding interface. In this report, we describe a novel approach to targeting FAT through fragment-based drug discovery (FBDD). We developed two fragment-based screening assays—a primary SPR assay and a secondary heteronuclear single quantum coherence nuclear magnetic resonance (HSQC-NMR) assay. For SPR, we designed an AviTag construct, optimized SPR buffer conditions, and created mutant controls. For NMR, resonance backbone assignments of the human FAT domain were obtained for the HSQC assay. A 189-compound fragment library from Enamine was screened through our primary SPR assay to demonstrate the feasibility of a FAT-FBDD pipeline, with 19 initial hit compounds. A final total of 11 validated hits were identified after secondary screening on NMR. This screening pipeline is the first FBDD screen of the FAT domain reported and represents a valid method for further drug discovery efforts on this difficult target.


2001 ◽  
Vol 6 (12) ◽  
pp. 621-627 ◽  
Author(s):  
Klaus Früh ◽  
Kenneth Simmen ◽  
B.G.Mattias Luukkonen ◽  
Yolanda C Bell ◽  
Peter Ghazal

2014 ◽  
Vol 34 (6) ◽  
pp. 1242-1285 ◽  
Author(s):  
Shaoyong Lu ◽  
Shuai Li ◽  
Jian Zhang

2015 ◽  
Vol 2 (4) ◽  
pp. 222 ◽  
Author(s):  
Ajita D. Khamkar ◽  
V. M. Motghare ◽  
Rushikesh Deshpande

2012 ◽  
Vol 7 (2) ◽  
pp. 133-153 ◽  
Author(s):  
Jorge Gálvez ◽  
María Gálvez-Llompart ◽  
Ramón García-Domenech

2019 ◽  
Author(s):  
Chen Farhy ◽  
Luis Orozco ◽  
Fu-Yue Zeng ◽  
Ian Pass ◽  
Jarkko Ylanko ◽  
...  

AbstractWith the advent of automatic cell imaging and machine learning, high-content phenotypic screening has become the approach of choice for drug discovery due to its ability to extract drug specific multilayered data and compare it to known profiles. In the field of epigenetics such screening approaches has suffered from the lack of tools sensitive to selective epigenetic perturbations. Here we describe a novel approach Microscopic Imaging of Epigenetic Landscapes (MIEL) that captures patterns of nuclear staining of epigenetic marks (e.g. acetylated and methylated histones) and employs machine learning to accurately distinguish between such patterns (1). We demonstrated that MIEL has superior resolution compared to conventional intensity thresholding techniques and enables efficient detection of epigenetically active compounds, function-based classification, flagging possible off-target effects and even predict novel drug function. We validated MIEL platform across multiple cells lines and using dose-response curves to insure the robustness of this approach for the high content high throughput drug discovery.


2019 ◽  
Vol 5 (5) ◽  
pp. eaau9093 ◽  
Author(s):  
Santiago G. Lago ◽  
Jakub Tomasik ◽  
Geertje F. van Rees ◽  
Hannah Steeb ◽  
David A. Cox ◽  
...  

There is a paucity of efficacious new compounds to treat neuropsychiatric disorders. We present a novel approach to neuropsychiatric drug discovery based on high-content characterization of druggable signaling network responses at the single-cell level in patient-derived lymphocytes ex vivo. Primary T lymphocytes showed functional responses encompassing neuropsychiatric medications and central nervous system ligands at established (e.g., GSK-3β) and emerging (e.g., CrkL) drug targets. Clinical application of the platform to schizophrenia patients over the course of antipsychotic treatment revealed therapeutic targets within the phospholipase Cγ1–calcium signaling pathway. Compound library screening against the target phenotype identified subsets of L-type calcium channel blockers and corticosteroids as novel therapeutically relevant drug classes with corresponding activity in neuronal cells. The screening results were validated by predicting in vivo efficacy in an independent schizophrenia cohort. The approach has the potential to discern new drug targets and accelerate drug discovery and personalized medicine for neuropsychiatric conditions.


2021 ◽  
Vol 11 (SPL4) ◽  
pp. 900-905
Author(s):  
Satish Kumar Sharma ◽  
Omprakash Goshain

Covid-19, a disease caused by severe acute respiratory syndrome corona virus (SARS-CoV) has challenged pharmaceutical science against viruses, globally. The disease has become a global pandemic beginning the race of new therapeutic strategies against novel corona virus (nCoV). Therefore, management of such pandemic issue is a need of the hour. Drug delivery refers to an approach adopted to transfer drug particles within the body to obtain a potent therapeutic effect. In the present study, an attempt has been taken to discuss about plant secondary metabolites (PSMs) and fungal bioactive compounds which are potent antiviral pharmaceutical agents. Also, a discussion about allopathic ingredient of plant secondary metabolites have also been done. The unique repository of Indian plants and versatility of fungal species provide broad spectrum to screen for pharmaceutical ingredients against novel corona virus. Further, screening of plant secondary metabolites by molecular docking can be a cost effective way to combat from novel corona virus. Thus, it can be said that, Multidimensional approach discussed herein may provide insights to combat antimicrobial resistance in the future. The present review will promote further research horizons in plants and fungal based therapeutics and a novel approach towards drug discovery thereby preventing the humans from suffering through severe adversities.


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