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Study of drug function based on similarity of pathway fingerprint.

Protein & cell

Ye H, Tang K, Yang L, Cao Z, Li Y.
PMID: 22426982
Protein Cell. 2012 Feb;3(2):132-9. doi: 10.1007/s13238-012-2011-z. Epub 2012 Mar 17.

Drugs sharing similar therapeutic function may not bind to the same group of targets. However, their targets may be involved in similar pathway profiles which are associated with certain pathological process. In this study, pathway fingerprint was introduced to...

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Ye H, Tang K, Yang L, et al. Study of drug function based on similarity of pathway fingerprint. Protein Cell. 2012;3(2):132-9doi: 10.1007/s13238-012-2011-z.
Ye, H., Tang, K., Yang, L., Cao, Z., & Li, Y. (2012). Study of drug function based on similarity of pathway fingerprint. Protein & cell, 3(2), 132-9. https://doi.org/10.1007/s13238-012-2011-z
Ye, Hao, et al. "Study of drug function based on similarity of pathway fingerprint." Protein & cell vol. 3,2 (2012): 132-9. doi: https://doi.org/10.1007/s13238-012-2011-z
Ye H, Tang K, Yang L, Cao Z, Li Y. Study of drug function based on similarity of pathway fingerprint. Protein Cell. 2012 Feb;3(2):132-9. doi: 10.1007/s13238-012-2011-z. Epub 2012 Mar 17. PMID: 22426982; PMCID: PMC4875411.
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In silico drug repositioning based on drug-miRNA associations.

Briefings in bioinformatics

Zhou X, Dai E, Song Q, Ma X, Meng Q, Jiang Y, Jiang W.
PMID: 30753359
Brief Bioinform. 2020 Mar 23;21(2):498-510. doi: 10.1093/bib/bbz012.

Drug repositioning has become a prevailing tactic as this strategy is efficient, economical and low risk for drug discovery. Meanwhile, recent studies have confirmed that small-molecule drugs can modulate the expression of disease-related miRNAs, which indicates that miRNAs are...

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Zhou X, Dai E, Song Q, et al. In silico drug repositioning based on drug-miRNA associations. Brief Bioinform. 2020;21(2):498-510doi: 10.1093/bib/bbz012.
Zhou, X., Dai, E., Song, Q., Ma, X., Meng, Q., Jiang, Y., & Jiang, W. (2020). In silico drug repositioning based on drug-miRNA associations. Briefings in bioinformatics, 21(2), 498-510. https://doi.org/10.1093/bib/bbz012
Zhou, Xu, et al. "In silico drug repositioning based on drug-miRNA associations." Briefings in bioinformatics vol. 21,2 (2020): 498-510. doi: https://doi.org/10.1093/bib/bbz012
Zhou X, Dai E, Song Q, Ma X, Meng Q, Jiang Y, Jiang W. In silico drug repositioning based on drug-miRNA associations. Brief Bioinform. 2020 Mar 23;21(2):498-510. doi: 10.1093/bib/bbz012. PMID: 30753359.
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Predicting Human Pharmacokinetics: Physiologically Based Pharmacokinetic Modeling and In Silico ADME Prediction in Early Drug Discovery.

European journal of drug metabolism and pharmacokinetics

Shi J, Zha W.
PMID: 30136219
Eur J Drug Metab Pharmacokinet. 2019 Feb;44(1):135-137. doi: 10.1007/s13318-018-0503-9.

No abstract available.

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Shi J, Zha W. Predicting Human Pharmacokinetics: Physiologically Based Pharmacokinetic Modeling and In Silico ADME Prediction in Early Drug Discovery. Eur J Drug Metab Pharmacokinet. 2019;44(1):135-137doi: 10.1007/s13318-018-0503-9.
Shi, J., & Zha, W. (2019). Predicting Human Pharmacokinetics: Physiologically Based Pharmacokinetic Modeling and In Silico ADME Prediction in Early Drug Discovery. European journal of drug metabolism and pharmacokinetics, 44(1), 135-137. https://doi.org/10.1007/s13318-018-0503-9
Shi, Jian, and Zha, Weibin. "Predicting Human Pharmacokinetics: Physiologically Based Pharmacokinetic Modeling and In Silico ADME Prediction in Early Drug Discovery." European journal of drug metabolism and pharmacokinetics vol. 44,1 (2019): 135-137. doi: https://doi.org/10.1007/s13318-018-0503-9
Shi J, Zha W. Predicting Human Pharmacokinetics: Physiologically Based Pharmacokinetic Modeling and In Silico ADME Prediction in Early Drug Discovery. Eur J Drug Metab Pharmacokinet. 2019 Feb;44(1):135-137. doi: 10.1007/s13318-018-0503-9. PMID: 30136219.
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Is there enough focus on lipophilicity in drug discovery?.

Expert opinion on drug discovery

Lobo S.
PMID: 31736369
Expert Opin Drug Discov. 2020 Mar;15(3):261-263. doi: 10.1080/17460441.2020.1691995. Epub 2019 Nov 17.

No abstract available.

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Lobo S. Is there enough focus on lipophilicity in drug discovery?. Expert Opin Drug Discov. 2019;15(3):261-263doi: 10.1080/17460441.2020.1691995.
Lobo, S. (2020). Is there enough focus on lipophilicity in drug discovery?. Expert opinion on drug discovery, 15(3), 261-263. https://doi.org/10.1080/17460441.2020.1691995
Lobo, Sonia. "Is there enough focus on lipophilicity in drug discovery?." Expert opinion on drug discovery vol. 15,3 (2020): 261-263. doi: https://doi.org/10.1080/17460441.2020.1691995
Lobo S. Is there enough focus on lipophilicity in drug discovery?. Expert Opin Drug Discov. 2020 Mar;15(3):261-263. doi: 10.1080/17460441.2020.1691995. Epub 2019 Nov 17. PMID: 31736369.
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Molecular Networking As a Drug Discovery, Drug Metabolism, and Precision Medicine Strategy.

Trends in pharmacological sciences

Quinn RA, Nothias LF, Vining O, Meehan M, Esquenazi E, Dorrestein PC.
PMID: 27842887
Trends Pharmacol Sci. 2017 Feb;38(2):143-154. doi: 10.1016/j.tips.2016.10.011. Epub 2016 Nov 11.

Molecular networking is a tandem mass spectrometry (MS/MS) data organizational approach that has been recently introduced in the drug discovery, metabolomics, and medical fields. The chemistry of molecules dictates how they will be fragmented by MS/MS in the gas...

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Quinn RA, Nothias LF, Vining O, et al. Molecular Networking As a Drug Discovery, Drug Metabolism, and Precision Medicine Strategy. Trends Pharmacol Sci. 2016;38(2):143-154doi: 10.1016/j.tips.2016.10.011.
Quinn, R. A., Nothias, L. F., Vining, O., Meehan, M., Esquenazi, E., & Dorrestein, P. C. (2017). Molecular Networking As a Drug Discovery, Drug Metabolism, and Precision Medicine Strategy. Trends in pharmacological sciences, 38(2), 143-154. https://doi.org/10.1016/j.tips.2016.10.011
Quinn, Robert A, et al. "Molecular Networking As a Drug Discovery, Drug Metabolism, and Precision Medicine Strategy." Trends in pharmacological sciences vol. 38,2 (2017): 143-154. doi: https://doi.org/10.1016/j.tips.2016.10.011
Quinn RA, Nothias LF, Vining O, Meehan M, Esquenazi E, Dorrestein PC. Molecular Networking As a Drug Discovery, Drug Metabolism, and Precision Medicine Strategy. Trends Pharmacol Sci. 2017 Feb;38(2):143-154. doi: 10.1016/j.tips.2016.10.011. Epub 2016 Nov 11. PMID: 27842887.
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A landscape for drug-target interactions based on network analysis.

PloS one

Galan-Vasquez E, Perez-Rueda E.
PMID: 33730052
PLoS One. 2021 Mar 17;16(3):e0247018. doi: 10.1371/journal.pone.0247018. eCollection 2021.

In this work, we performed an analysis of the networks of interactions between drugs and their targets to assess how connected the compounds are. For our purpose, the interactions were downloaded from the DrugBank database, and we considered all...

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Galan-Vasquez E, Perez-Rueda E. A landscape for drug-target interactions based on network analysis. PLoS One. 2021;16(3):e0247018doi: 10.1371/journal.pone.0247018.
Galan-Vasquez, E., & Perez-Rueda, E. (2021). A landscape for drug-target interactions based on network analysis. PloS one, 16(3), e0247018. https://doi.org/10.1371/journal.pone.0247018
Galan-Vasquez, Edgardo, and Perez-Rueda, Ernesto. "A landscape for drug-target interactions based on network analysis." PloS one vol. 16,3 (2021): e0247018. doi: https://doi.org/10.1371/journal.pone.0247018
Galan-Vasquez E, Perez-Rueda E. A landscape for drug-target interactions based on network analysis. PLoS One. 2021 Mar 17;16(3):e0247018. doi: 10.1371/journal.pone.0247018. eCollection 2021. PMID: 33730052; PMCID: PMC7968663.
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Implications of gene copy-number variation in health and diseases.

Journal of human genetics

Almal SH, Padh H.
PMID: 21956041
J Hum Genet. 2012 Jan;57(1):6-13. doi: 10.1038/jhg.2011.108. Epub 2011 Sep 29.

Inter-individual genomic variations have recently become evident with advances in sequencing techniques and genome-wide array comparative genomic hybridization. Among such variations single nucleotide polymorphisms (SNPs) are widely studied and better defined because of availability of large-scale detection platforms. However,...

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Almal SH, Padh H. Implications of gene copy-number variation in health and diseases. J Hum Genet. 2011;57(1):6-13doi: 10.1038/jhg.2011.108.
Almal, S. H., & Padh, H. (2012). Implications of gene copy-number variation in health and diseases. Journal of human genetics, 57(1), 6-13. https://doi.org/10.1038/jhg.2011.108
Almal, Suhani H, and Padh, Harish. "Implications of gene copy-number variation in health and diseases." Journal of human genetics vol. 57,1 (2012): 6-13. doi: https://doi.org/10.1038/jhg.2011.108
Almal SH, Padh H. Implications of gene copy-number variation in health and diseases. J Hum Genet. 2012 Jan;57(1):6-13. doi: 10.1038/jhg.2011.108. Epub 2011 Sep 29. PMID: 21956041.
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Showing 14389 to 79 of 79 entries