Pharmacological affinity fingerprints derived from bioactivity data for the identification of designer drugs
Abstract Facing the continuous emergence of new psychoactive substances (NPS) and their threat to public health, more effective methods for NPS prediction and identification are critical. In this study, the pharmacological affinity fingerprints (Ph-fp) of NPS compounds were predicted by Random Fores...
Main Author: | Kedan He |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2022-06-01
|
Series: | Journal of Cheminformatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13321-022-00607-6 |
Similar Items
-
QSAR-derived affinity fingerprints (part 1): fingerprint construction and modeling performance for similarity searching, bioactivity classification and scaffold hopping
by: C. Škuta, et al.
Published: (2020-05-01) -
Increasing the Effectiveness of Pharmacotherapy in Psychiatry by Using a Pharmacological Interaction Database
by: Michal Ordak, et al.
Published: (2021-05-01) -
FingerDTA: A Fingerprint-Embedding Framework for Drug-Target Binding Affinity Prediction
by: Xuekai Zhu, et al.
Published: (2023-03-01) -
QSAR-derived affinity fingerprints (part 2): modeling performance for potency prediction
by: Isidro Cortés-Ciriano, et al.
Published: (2020-06-01) -
A Mixed Approach to Similarity Metric Selection in Affinity Propagation-Based WiFi Fingerprinting Indoor Positioning
by: Giuseppe Caso, et al.
Published: (2015-10-01)