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Literature DB >> 28959982

The drug-maker's guide to the galaxy.

Asher Mullard.

Abstract

Mesh：

Year: 2017 PMID： 28959982 DOI： 10.1038/549445a

Source DB: PubMed Journal: Nature ISSN： 0028-0836 Impact factor: 49.962

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Cited

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10 in total

Review 1. Expanding the medicinal chemistry synthetic toolbox.

Authors: Jonas Boström; Dean G Brown; Robert J Young; György M Keserü
Journal: Nat Rev Drug Discov Date: 2018-08-24 Impact factor: 84.694

2. Machine Learning in Drug Discovery: A Review.

Authors: Suresh Dara; Swetha Dhamercherla; Surender Singh Jadav; Ch Madhu Babu; Mohamed Jawed Ahsan
Journal: Artif Intell Rev Date: 2021-08-11 Impact factor: 9.588

3. Drug repurposing: An effective strategy to accelerate contemporary drug discovery.

Authors: Peng Zhan; Bin Yu; Liang Ouyang
Journal: Drug Discov Today Date: 2022-05-31 Impact factor: 8.369

4. Mapping biologically active chemical space to accelerate drug discovery.

Authors: G Sitta Sittampalam; Dobrila D Rudnicki; Danilo A Tagle; Anton Simeonov; Christopher P Austin
Journal: Nat Rev Drug Discov Date: 2019-02 Impact factor: 84.694

Review 5. Exploring G Protein-Coupled Receptors (GPCRs) Ligand Space via Cheminformatics Approaches: Impact on Rational Drug Design.

Authors: Shaherin Basith; Minghua Cui; Stephani J Y Macalino; Jongmi Park; Nina A B Clavio; Soosung Kang; Sun Choi
Journal: Front Pharmacol Date: 2018-03-09 Impact factor: 5.810

The drug-maker's guide to the galaxy.

Review 1. Expanding the medicinal chemistry synthetic toolbox.

2. Machine Learning in Drug Discovery: A Review.

3. Drug repurposing: An effective strategy to accelerate contemporary drug discovery.

4. Mapping biologically active chemical space to accelerate drug discovery.

Review 5. Exploring G Protein-Coupled Receptors (GPCRs) Ligand Space via Cheminformatics Approaches: Impact on Rational Drug Design.

6. Chemical space exploration based on recurrent neural networks: applications in discovering kinase inhibitors.

7. Perspective of drug design with high-performance computing.

8. Simplifying inverse materials design problems for fixed lattices with alchemical chirality.

Review 9. Prediction Methods of Herbal Compounds in Chinese Medicinal Herbs.

Review 10. Artificial intelligence for COVID-19: battling the pandemic with computational intelligence.