Literature DB >> 28032990

Iterative Focused Screening with Biological Fingerprints Identifies Selective Asc-1 Inhibitors Distinct from Traditional High Throughput Screening.

Peter S Kutchukian1, Lee Warren2, Brian C Magliaro3, Adam Amoss4, Jason A Cassaday4, Gregory O'Donnell4, Brian Squadroni4, Paul Zuck4, Danette Pascarella3, J Chris Culberson5, Andrew J Cooke6, Danielle Hurzy6, Kelly-Ann Sondra Schlegel6, Fiona Thomson2, Eric N Johnson4, Victor N Uebele4, Jeffrey D Hermes4, Sophie Parmentier-Batteur2, Michael Finley4.   

Abstract

N-methyl-d-aspartate receptors (NMDARs) mediate glutamatergic signaling that is critical to cognitive processes in the central nervous system, and NMDAR hypofunction is thought to contribute to cognitive impairment observed in both schizophrenia and Alzheimer's disease. One approach to enhance the function of NMDAR is to increase the concentration of an NMDAR coagonist, such as glycine or d-serine, in the synaptic cleft. Inhibition of alanine-serine-cysteine transporter-1 (Asc-1), the primary transporter of d-serine, is attractive because the transporter is localized to neurons in brain regions critical to cognitive function, including the hippocampus and cortical layers III and IV, and is colocalized with d-serine and NMDARs. To identify novel Asc-1 inhibitors, two different screening approaches were performed with whole-cell amino acid uptake in heterologous cells stably expressing human Asc-1: (1) a high-throughput screen (HTS) of 3 M compounds measuring 35S l-cysteine uptake into cells attached to scintillation proximity assay beads in a 1536 well format and (2) an iterative focused screen (IFS) of a 45 000 compound diversity set using a 3H d-serine uptake assay with a liquid scintillation plate reader in a 384 well format. Critically important for both screening approaches was the implementation of counter screens to remove nonspecific inhibitors of radioactive amino acid uptake. Furthermore, a 15 000 compound expansion step incorporating both on- and off-target data into chemical and biological fingerprint-based models for selection of additional hits enabled the identification of novel Asc-1-selective chemical matter from the IFS that was not identified in the full-collection HTS.

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Year:  2017        PMID: 28032990     DOI: 10.1021/acschembio.6b00913

Source DB:  PubMed          Journal:  ACS Chem Biol        ISSN: 1554-8929            Impact factor:   5.100


  5 in total

1.  Meeting Proceedings ICBS2016-Translating the Power of Chemical Biology to Clinical Advances.

Authors:  Yugo Kuriki; Toru Komatsu; Peter D Ycas; Sara K Coulup; Erick J Carlson; William C K Pomerantz
Journal:  ACS Chem Biol       Date:  2017-03-17       Impact factor: 5.100

Review 2.  Heteromeric Amino Acid Transporters in Brain: from Physiology to Pathology.

Authors:  Ekaitz Errasti-Murugarren; Manuel Palacín
Journal:  Neurochem Res       Date:  2021-02-19       Impact factor: 3.996

3.  Recent trends in artificial intelligence-driven identification and development of anti-neurodegenerative therapeutic agents.

Authors:  Kushagra Kashyap; Mohammad Imran Siddiqi
Journal:  Mol Divers       Date:  2021-07-19       Impact factor: 3.364

Review 4.  Increased/Targeted Brain (Pro)Drug Delivery via Utilization of Solute Carriers (SLCs).

Authors:  Johanna Huttunen; Santosh Kumar Adla; Magdalena Markowicz-Piasecka; Kristiina M Huttunen
Journal:  Pharmaceutics       Date:  2022-06-10       Impact factor: 6.525

5.  Identification and characterization of a novel SNAT2 (SLC38A2) inhibitor reveals synergy with glucose transport inhibition in cancer cells.

Authors:  Gregory Gauthier-Coles; Angelika Bröer; Malcolm Donald McLeod; Amee J George; Ross D Hannan; Stefan Bröer
Journal:  Front Pharmacol       Date:  2022-09-21       Impact factor: 5.988

  5 in total

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