Allosteric drugs: New principles and design approaches

Tee, Wei-Ven; Berezovsky, Igor N.

doi:10.1016/j.sbi.2023.102758

Current Opinion in Structural Biology

2024

DOI: 10.1016/j.sbi.2023.102758

|View full text |Cite

Allosteric drugs: New principles and design approaches

Wei-Ven Tee,

Igor N. Berezovsky

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article3

Relationship

Self Cite0

Independent3

Authors

Journals

Cited by 3 publications

References 76 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Crystal structure of the GluK1 ligand-binding domain with kainate and the full-spanning positive allosteric modulator BPAM538

Bay,

Cabello,

Koens

et al. 2024

Journal of Structural Biology

View full text Add to dashboard Cite

Crystal structure of the GluK1 ligand-binding domain with kainate and the full-spanning positive allosteric modulator BPAM538

Bay,

Cabello,

Koens

et al. 2024

Journal of Structural Biology

View full text Add to dashboard Cite

Allostery Illuminated: Harnessing AI and Machine Learning for Drug Discovery

Blanco,

Buskes,

Govindaraj

et al. 2024

ACS Med. Chem. Lett.

View full text Add to dashboard Cite

In the past several years there has been rapid adoption of artificial intelligence (AI) and machine learning (ML) tools for drug discovery. In this Microperspective, we comment on recent AI/ML applications to the discovery of allosteric modulators, focusing on breakthroughs with AlphaFold, structure-based drug discovery (SBDD), and medicinal chemistry applications. We discuss how these technologies are facilitating drug discovery and the remaining challenges to identify allosteric binding sites and ligands.

show abstract

Functional implications of unusual NOS and SONOS covalent linkages found in proteins

Lloyd,

Gregory,

Acharya

2024

Chem. Commun.

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Allosteric drugs: New principles and design approaches

Cited by 3 publications

References 76 publications

Crystal structure of the GluK1 ligand-binding domain with kainate and the full-spanning positive allosteric modulator BPAM538

Crystal structure of the GluK1 ligand-binding domain with kainate and the full-spanning positive allosteric modulator BPAM538

Allostery Illuminated: Harnessing AI and Machine Learning for Drug Discovery

Functional implications of unusual NOS and SONOS covalent linkages found in proteins

Contact Info

Product

Resources

About