Li Z-M, Xu S-W, Liu P-Q. Salvia miltiorrhizaBurge (Danshen): a golden herbal medicine in cardiovascular therapeutics. Acta Pharmacol Sin. 2018;39(5):802–24.
Liu C, Zhang L, Li Y, Li M, Han H, Wang K. Traditional Chinese patent medicine in the treatment of Alzheimer’s disease: a systematic review and network meta-analysis. Am J Chin Med. 2023;51(03):517–46.
Yang L, Liu X, Zhu J, Zhang X, Li Y, Chen J, Liu H. Progress in traditional Chinese medicine against chronic gastritis: from chronic non-atrophic gastritis to gastric precancerous lesions. Heliyon. 2023. https://doi.org/10.1016/j.heliyon.2023.e16764.
Ai C, Zou Y, Liu H, Yang Z, Xi J. Traditional Chinese herbal medicine for allergic diseases: a review. Am J Chin Med. 2023;51(04):779–806.
Gonzalez-Munoz AL, Minter RR, Rust SJ. Phenotypic screening: the future of antibody discovery. Drug Discov Today. 2016;21(1):150–6.
Swinney DC. Phenotypic vs. Target-based drug discovery for first-in-class medicines. Clin Pharmacol Ther. 2013;93(4):299–301.
Sang Z, Wang K, Dong J, Tang L. Alzheimer’s disease: updated multi-targets therapeutics are in clinical and in progress. Eur J Med Chem. 2022. https://doi.org/10.1016/j.ejmech.2022.114464.
Vincent F, Nueda A, Lee J, Schenone M, Prunotto M, Mercola M. Phenotypic drug discovery: recent successes, lessons learned and new directions. Nat Rev Drug Discov. 2022;21(12):899–914.
Berg EL. The future of phenotypic drug discovery. Cell Chem Biol. 2021;28(3):424–30.
Swinney DC, Anthony J. How were new medicines discovered? Nat Rev Drug Discov. 2011;10(7):507–19.
Wu Y, Zhang F, Yang K, Fang S, Bu D, Li H, Sun L, Hu H, Gao K, Wang W, Zhou X, Zhao Y, Chen J. SymMap: an integrative database of traditional Chinese medicine enhanced by symptom mapping. Nucleic Acids Res. 2019;47(D1):D1110–7.
Harvey AL, Edrada-Ebel R, Quinn RJ. The re-emergence of natural products for drug discovery in the genomics era. Nat Rev Drug Discov. 2015;14(2):111–29.
Atanasov AG, Zotchev SB, Dirsch VM, Supuran CT. Natural products in drug discovery: advances and opportunities. Nat Rev Drug Discov. 2021;20(3):200–16.
Feng X, Li Y, Wang Y, Li L, Little PJ, Xu S-W, Liu S. Danhong injection in cardiovascular and cerebrovascular diseases: pharmacological actions, molecular mechanisms, and therapeutic potential. Pharmacol Res. 2019;139:62–75.
Orgah JO, He S, Wang Y, Jiang M, Wang Y, Orgah EA, Duan Y, Zhao B, Zhang B, Han J, Zhu Y. Pharmacological potential of the combination of Salvia miltiorrhiza (Danshen) and Carthamus tinctorius (Honghua) for diabetes mellitus and its cardiovascular complications. Pharmacol Res. 2020. https://doi.org/10.1016/j.phrs.2020.104654.
Mao H-P, Wang X-Y, Gao YH, Chang Y-X, Chen L, Niu Z-C, Ai J-Q, Gao X-M. Danhong injection attenuates isoproterenol-induced cardiac hypertrophy by regulating p38 and NF-κb pathway. J Ethnopharmacol. 2016;186:20–9.
Zhang X, Ma Z-G, Yuan Y-P, Xu S-C, Wei W-Y, Song P, Kong C-Y, Deng W, Tang Q-Z. Rosmarinic acid attenuates cardiac fibrosis following long-term pressure overload via AMPKα/Smad3 signaling. Cell Death Dis. 2018. https://doi.org/10.1038/s41419-017-0123-3.
Zhong W, Sun B, Gao W, Qin Y, Zhang H, Huai L, Tang Y, Liang Y, He L, Zhang X, Tao H, Chen S, Yang W, Yang L, Liu Y, Liu H, Zhou H, Sun T, Yang C. Salvianolic acid A targeting the transgelin-actin complex to enhance vasoconstriction. EBioMedicine. 2018;37:246–58.
Hopkins AL. Network pharmacology: the next paradigm in drug discovery. Nat Chem Biol. 2008;4(11):682–90.
Ball KA, Webb KJ, Coleman SJ, Cozzolino KA, Jacobsen J, Jones KR, Stowell MHB, Old WM. An isothermal shift assay for proteome scale drug-target identification. Commun Biol. 2020. https://doi.org/10.1038/s42003-020-0795-6.
Martinez Molina D, Jafari R, Ignatushchenko M, Seki T, Larsson EA, Dan C, Sreekumar L, Cao Y, Nordlund P. Monitoring drug target engagement in cells and tissues using the cellular thermal shift assay. Science. 2013;341(6141):84–7.
Wang T, Yang C, Li Z, Li T, Zhang R, Zhao Y, Cheng T, Zong Z, Ma Y, Zhang D, Deng H. Flavonoid 4,4′-dimethoxychalcone selectively eliminates senescent cells via activating ferritinophagy. Redox Biol. 2024. https://doi.org/10.1016/j.redox.2023.103017.
Ashburner M, Ball CA, Blake JA, Botstein D, Heather Butler J, Cherry M, Davis AP, Dolinski K, Dwight SS, Eppig JT, Harris MA, Hill DP, Issel-Tarver L, Kasarskis A, Lewis S, Matese JC, Richardson JE, Ringwald M, Rubin GM, Sherlock G. Gene ontology: tool for the unification of biology. The gene ontology consortium. Nat Genet. 2000;25(1):25–9.
Kanehisa M, Goto S. KEGG: kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 2000;28(1):27–30.
Stelzer G, Rosen N, Plaschkes I, Zimmerman S, Twik M, Fishilevich S, Stein TI, Nudel R, Lieder I, Mazor Y, Kaplan S, Dahary D, Warshawsky D, Guan-Golan Y, Kohn A, Rappaport N, Safran M, Lancet D. The GeneCards suite: from gene data mining to disease genome sequence analyses. Curr Protoc Bioinform. 2016. https://doi.org/10.1002/cpbi.5.
Knox C, Wilson M, Klinger CM, Franklin M, Oler E, Wilson A, Pon A, Cox J, Chin NE, Strawbridge SA, Garcia-Patino M, Kruger R, Sivakumaran A, Sanford S, Doshi R, Khetarpal N, Fatokun O, Doucet D, Zubkowski A, Rayat DY, Jackson H, Harford K, Anjum A, Zakir M, Wang F, Tian S, Lee B, Liigand J, Peters H, Wang RQ, Nguyen T, So D, Sharp M, da Silva R, Gabriel C, Scantlebury J, Jasinski M, Ackerman D, Jewison T, Sajed T, Gautam V, Wishart DS. DrugBank 6.0: the DrugBank knowledgebase for 2024. Nucleic Acids Res. 2024;52(D1):D1265–75.
Whirl-Carrillo M, McDonagh EM, Hebert JM, Gong L, Sangkuhl K, Thorn CF, Altman RB, Klein TE. Pharmacogenomics knowledge for personalized medicine. Clin Pharmacol Ther. 2012;92(4):414–7.
Bateman A, Martin M-J, Orchard S, Magrane M, Ahmad S, Alpi E, Bowler-Barnett EH, Britto R, Bye-A-Jee H, Cukura A, Denny P, Dogan T, Ebenezer T, Fan J, Garmiri P, da Costa Gonzales LJ, Hatton-Ellis E, Hussein A, Ignatchenko A, Insana G, Ishtiaq R, Joshi V, Jyothi D, Kandasaamy S, Lock A, Luciani A, Lugaric M, Luo J, Lussi Y, MacDougall A, Madeira F, Mahmoudy M, Mishra A, Moulang K, Nightingale A, Pundir S, Qi G, Raj S, Raposo P, Rice DL, Saidi R, Santos R, Speretta E, Stephenson J, Totoo P, Turner E, Tyagi N, Vasudev P, Warner K, Watkins X, Zaru R, Zellner H, Bridge AJ, Aimo L, Argoud-Puy G, Auchincloss AH, Axelsen KB, Bansal P, Baratin D, Batista Neto TM, Blatter M-C, Bolleman JT, Boutet E, Breuza L, Gil BC, Casals-Casas C, Echioukh KC, Coudert E, Cuche B, de Castro E, Estreicher A, Famiglietti ML, Feuermann M, Gasteiger E, Gaudet P, Gehant S, Gerritsen V, Gos A, Gruaz N, Hulo C, Hyka-Nouspikel N, Jungo F, Kerhornou A, Le Mercier P, Lieberherr D, Masson P, Morgat A, Muthukrishnan V, Paesano S, Pedruzzi I, Pilbout S, Pourcel L, Poux S, Pozzato M, Pruess M, Redaschi N, Rivoire C, Sigrist CJA, Sonesson K, Sundaram S, Wu CH, Arighi CN, Arminski L, Chen C, Chen Y, Huang H, Laiho K, McGarvey P, Natale DA, Ross K, Vinayaka CR, Wang Q, Wang Y, Zhang J. UniProt: the universal protein knowledgebase in 2023. Nucleic Acids Res. 2023;51(D1):D523–31.
Wu T, Hu E, Xu S, Chen M, Guo P, Dai Z, Feng T, Zhou L, Tang W, Zhan L, Fu X, Liu S, Bo X, Yu G. clusterProfiler 4.0: A universal enrichment tool for interpreting omics data. The Innovation 2021, 2 (3).
Szklarczyk D, Kirsch R, Koutrouli M, Nastou K, Mehryary F, Hachilif R, Gable AL, Fang T, Doncheva Nadezhda T, Pyysalo S, Bork P, Jensen Lars J, von Mering C. The STRING database in 2023: protein–protein association networks and functional enrichment analyses for any sequenced genome of interest. Nucleic Acids Res. 2023;51(D1):D638–46.
Shannon P, Markiel A, Ozier O, Baliga NS, Wang JT, Ramage D, Amin N, Schwikowski B, Ideker T. Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 2003;13(11):2498–504.
Piñero J, Ramírez-Anguita JM, Saüch-Pitarch J, Ronzano F, Centeno E, Sanz F, Furlong LI. The DisGeNET knowledge platform for disease genomics: 2019 update. Nucleic Acids Res. 2020. https://doi.org/10.1093/nar/gkz1021.
Gan CS, Chong PK, Pham TK, Wright PC, Wright PC. Technical, experimental, and biological variations in isobaric tags for relative and absolute quantitation (iTRAQ). J Proteome Res. 2007;6(2):821–7.
Campbell BCV, Khatri P. Stroke. Lancet. 2020;396(10244):129–42.
Vatte S, Ugale R. HIF-1, an important regulator in potential new therapeutic approaches to ischemic stroke. Neurochem Int. 2023. https://doi.org/10.1016/j.neuint.2023.105605.
Wang P, Gao R, Wu T, Zhang J, Sun X, Fan F, Wang C, Qian S, Li B, Zou Y, Huo Y, Fassett J, Chen Y, Ge J, Sun A. Accumulation of endogenous adenosine improves cardiomyocyte metabolism via epigenetic reprogramming in an ischemia-reperfusion model. Redox Biol. 2023. https://doi.org/10.1016/j.redox.2023.102884.
Wölkart G, Stessel H, Fassett E, Teschl E, Friedl K, Trummer M, Schrammel A, Kollau A, Mayer B, Fassett J. Adenosine kinase (ADK) inhibition with ABT-702 induces ADK protein degradation and a distinct form of sustained cardioprotection. Eur J Pharmacol. 2022. https://doi.org/10.1016/j.ejphar.2022.175050.
Shen H-Y, Lusardi TA, Williams-Karnesky RL, Lan J-Q, Poulsen DJ, Boison D. Adenosine kinase determines the degree of brain injury after ischemic stroke in mice. J Cereb Blood Flow Metab. 2011;31(7):1648–59.
Yao Q, Chang B-T, Chen R, Wei Y-J, Gong Q-J, Yu D, Zhang Y, Han X, Yang H-B, Tang S-J, Gao Y. Research advances in pharmacology, safety, and clinical applications of Yunnan Baiyao, a traditional chinese medicine formula. Front Pharmacol. 2021. https://doi.org/10.3389/fphar.2021.773185.
Gou H, Su H, Liu D, Wong CC, Shang H, Fang Y, Zeng X, Chen H, Li Y, Huang Z, Fan M, Wei C, Wang X, Zhang X, Li X, Yu J. Traditional medicine Pien Tze Huang suppresses colorectal tumorigenesis through restoring gut microbiota and metabolites. Gastroenterology. 2023;165(6):1404–19.
Meissner F, Geddes-McAlister J, Mann M, Bantscheff M. The emerging role of mass spectrometry-based proteomics in drug discovery. Nat Rev Drug Discov. 2022;21(9):637–54.
Franken H, Mathieson T, Childs D, Sweetman GMA, Werner T, Tögel I, Doce C, Gade S, Bantscheff M, Drewes G, Reinhard FBM, Huber W, Savitski MM. Thermal proteome profiling for unbiased identification of direct and indirect drug targets using multiplexed quantitative mass spectrometry. Nat Protoc. 2015;10(10):1567–93.
Malinovska L, Cappelletti V, Kohler D, Piazza I, Tsai T-H, Pepelnjak M, Stalder P, Dörig C, Sesterhenn F, Elsässer F, Kralickova L, Beaton N, Reiter L, de Souza N, Vitek O, Picotti P. Proteome-wide structural changes measured with limited proteolysis-mass spectrometry: an advanced protocol for high-throughput applications. Nat Protoc. 2022;18(3):659–82.
Add Comment