LC–MS/MS Software for Screening Unknown Erectile Dysfunction Drugs and Analogues: Artificial Neural Network Classification, Peak-Count Scoring, Simple Similarity Search, and Hybrid Similarity Search Algorithms-Reference-Cited by-同舟云学术

LC–MS/MS Software for Screening Unknown Erectile Dysfunction Drugs and Analogues: Artificial Neural Network Classification, Peak-Count Scoring, Simple Similarity Search, and Hybrid Similarity Search Algorithms

Published:2019-06-19 Issue:14 Volume:91 Page:9119-9128
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Jang Inae¹,Lee Jae-ung¹,Lee Jung-min¹,Kim Beom Hee²,Moon Bongjin¹,Hong Jongki²,Oh Han Bin¹^ORCID

Affiliation:

1. Department of Chemistry, Sogang University, Seoul 04107, Republic of Korea

2. College of Pharmacy, Kyunghee University, Seoul 02447, Republic of Korea

Funder

Ministry of Health and Welfare

Ministry of Food and Drug Safety

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.9b01643

Reference31 articles.

1. Phosphodiesterase type 5 inhibitors for the treatment of erectile dysfunction in patients with diabetes mellitus

2. Continuing Medical Education: 2009 Update on Phosphodiesterase Type 5 Inhibitor Therapy Part 2: Updates on Optimal Utilization for Sexual Concerns and Rare Toxicities in This Class (CME)

3. Screening of synthetic PDE-5 inhibitors and their analogues as adulterants: Analytical techniques and challenges

4. Towards a decade of detecting new analogues of sildenafil, tadalafil and vardenafil in food supplements: A history, analytical aspects and health risks

5. Recreational Use of Erectile Dysfunction Medications and Its Adverse Effects on Erectile Function in Young Healthy Men: The Mediating Role of Confidence in Erectile Ability

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