Abstract
Allosteric modulators have emerged with many potential pharmacological advantages as they do not compete the binding of agonist or antagonist to the orthosteric sites but ultimately affect downstream signaling. To identify allosteric modulators targeting an extra-helical binding site of the glucagon-like peptide-1 receptor (GLP-1R) within the membrane environment, the following two computational approaches were applied: structure-based virtual screening with consideration of lipid contacts and ligand-based virtual screening with the maintenance of specific allosteric pocket residue interactions. Verified by radiolabeled ligand binding and cAMP accumulation experiments, two negative allosteric modulators and seven positive allosteric modulators were discovered using structure-based and ligand-based virtual screening methods, respectively. The computational approach presented here could possibly be used to discover allosteric modulators of other G protein-coupled receptors.
Original language | English |
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Article number | 929 |
Journal | Biomolecules |
Volume | 11 |
Issue number | 7 |
DOIs | |
Publication status | Published - Jul 2021 |
Bibliographical note
Funding Information:sFcurinpdt.ing: This research was partially supported by National Key Research and Development Pro-Funding: This research was partially supported by National Key Research and Development Program of China grants 2018YFA0507000 (S.Z. and M.-W.W.) and 2016YFC0905900 (S.Z.); National Fugnradmin go:f TChhiisnrae sgeraarncths w20a1s8 pYaFrAti0a5ll0y70su00p p(So.rZte. da nbdy MNa.-tWion.Wal.)KaenydR 2e0s1e6aYrcFhC a0n9d05D90e0v e(lSo.pZm.);e Nnta Ptiroon-al Mega R&D Program for Drug Discovery grants 2018ZX09711002-002-005 (D.Y.) and 2018ZX09735-grMameg ao fR C&hDin Par gograrnamts 2fo0r1 8DYrFuAg 0D5i0s7c0o0v0e r(yS .gZr. aanntds 2M01.-8WZX.W09.)71a1n0d0 22-001062Y-0F0C50 (9D0.5Y9.0)0a n(Sd. Z2.0)1; 8NZaXti0o9n7a3l5 - 001 (M.-W.W); National Natural Science Foundation of China grants 21704064 (Q.Z.), 81573479 M0e0g1a (RM&.-DW P.Wro)g; rNamat ifoonr aDl rNuga tDuriascl oSvceireyn cgeraFnotus n2d01a8tiZoXn 0o9f71C1h0i0n2a-0g0r2a-0n0ts5 2(D17.Y04.)0a6n4d ( Q20.Z18.)Z, X80195773354-79 (D.Y.), 81773792 (D.Y.), 81872915 (M.-W.W.), 82073904 (M.-W.W.) and 31971178 (S.Z.); Shanghai Sci-00(1D .(YM.).,-8W17.W73)7; 9N2 a(Dtio.Yn.a),l 8N18a7tu29ra1l5 S(Mcie.-nWce.WF.o)u, 8n2d0a7t3io9n04 o (fMC.-hWin.Wa .g)raanndts 3 12917710147086 4(S (.QZ..)Z; .S)h, a8n1g57h3a4i 7S9c i-ence & Technology Development Fund grant 16ZR1407100 (A.D.); Novo Nordisk-CAS Research (De.nYc.e), &81 7T7e3c7h9n2o (lDog.Yy. )D, 8e1v8e7l2o9p1m5 e(nMt .-FWun.Wd .g),r 8a2n0t7 1369Z04R (1M40.7-W10.0W (.A) a.Dnd.) ;3 N19o7v1o17N8 o(Srd.Zis.)k; -SChAanSg Rheasi eSacric-h Fund grant NNCAS-2017-1-CC (D.Y.) and annual overhead support from ShanghaiTech University enFcuen &d gTreacnhtn NoNloCgyA SD-e2v01e7lo-1p-mCeCn (tD F.uYn.)d a ngdra antn 1u6aZl Rov14e0rh71ea0d0 s(Aup.Dp.o);r tN froovmo SNhoarndgihska-iTCeAcSh URensievaerrcshit y and Chinese Academy of Sciences. Fuanndd gCrhainnte NseN ACcAadSe-2m0y1 7o-f1 -SCciCe n(Dce.sY. .) and annual overhead support from ShanghaiTech University
Funding Information:
Funding: This research was partially supported by National Key Research and Development Program of China grants 2018YFA0507000 (S.Z. and M.-W.W.) and 2016YFC0905900 (S.Z.); National Mega R&D Program for Drug Discovery grants 2018ZX09711002-002-005 (D.Y.) and 2018ZX09735-001 (M.-W.W); National Natural Science Foundation of China grants 21704064 (Q.Z.), 81573479 (D.Y.), 81773792 (D.Y.), 81872915 (M.-W.W.), 82073904 (M.-W.W.) and 31971178 (S.Z.); Shanghai Science & Technology Development Fund grant 16ZR1407100 (A.D.); Novo Nordisk-CAS Research Fund grant NNCAS-2017-1-CC (D.Y.) and annual overhead support from ShanghaiTech University and Chinese Academy of Sciences.
Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
Funding
sFcurinpdt.ing: This research was partially supported by National Key Research and Development Pro-Funding: This research was partially supported by National Key Research and Development Program of China grants 2018YFA0507000 (S.Z. and M.-W.W.) and 2016YFC0905900 (S.Z.); National Fugnradmin go:f TChhiisnrae sgeraarncths w20a1s8 pYaFrAti0a5ll0y70su00p p(So.rZte. da nbdy MNa.-tWion.Wal.)KaenydR 2e0s1e6aYrcFhC a0n9d05D90e0v e(lSo.pZm.);e Nnta Ptiroon-al Mega R&D Program for Drug Discovery grants 2018ZX09711002-002-005 (D.Y.) and 2018ZX09735-grMameg ao fR C&hDin Par gograrnamts 2fo0r1 8DYrFuAg 0D5i0s7c0o0v0e r(yS .gZr. aanntds 2M01.-8WZX.W09.)71a1n0d0 22-001062Y-0F0C50 (9D0.5Y9.0)0a n(Sd. Z2.0)1; 8NZaXti0o9n7a3l5 - 001 (M.-W.W); National Natural Science Foundation of China grants 21704064 (Q.Z.), 81573479 M0e0g1a (RM&.-DW P.Wro)g; rNamat ifoonr aDl rNuga tDuriascl oSvceireyn cgeraFnotus n2d01a8tiZoXn 0o9f71C1h0i0n2a-0g0r2a-0n0ts5 2(D17.Y04.)0a6n4d ( Q20.Z18.)Z, X80195773354-79 (D.Y.), 81773792 (D.Y.), 81872915 (M.-W.W.), 82073904 (M.-W.W.) and 31971178 (S.Z.); Shanghai Sci-00(1D .(YM.).,-8W17.W73)7; 9N2 a(Dtio.Yn.a),l 8N18a7tu29ra1l5 S(Mcie.-nWce.WF.o)u, 8n2d0a7t3io9n04 o (fMC.-hWin.Wa .g)raanndts 3 12917710147086 4(S (.QZ..)Z; .S)h, a8n1g57h3a4i 7S9c i-ence & Technology Development Fund grant 16ZR1407100 (A.D.); Novo Nordisk-CAS Research (De.nYc.e), &81 7T7e3c7h9n2o (lDog.Yy. )D, 8e1v8e7l2o9p1m5 e(nMt .-FWun.Wd .g),r 8a2n0t7 1369Z04R (1M40.7-W10.0W (.A) a.Dnd.) ;3 N19o7v1o17N8 o(Srd.Zis.)k; -SChAanSg Rheasi eSacric-h Fund grant NNCAS-2017-1-CC (D.Y.) and annual overhead support from ShanghaiTech University enFcuen &d gTreacnhtn NoNloCgyA SD-e2v01e7lo-1p-mCeCn (tD F.uYn.)d a ngdra antn 1u6aZl Rov14e0rh71ea0d0 s(Aup.Dp.o);r tN froovmo SNhoarndgihska-iTCeAcSh URensievaerrcshit y and Chinese Academy of Sciences. Fuanndd gCrhainnte NseN ACcAadSe-2m0y1 7o-f1 -SCciCe n(Dce.sY. .) and annual overhead support from ShanghaiTech University Funding: This research was partially supported by National Key Research and Development Program of China grants 2018YFA0507000 (S.Z. and M.-W.W.) and 2016YFC0905900 (S.Z.); National Mega R&D Program for Drug Discovery grants 2018ZX09711002-002-005 (D.Y.) and 2018ZX09735-001 (M.-W.W); National Natural Science Foundation of China grants 21704064 (Q.Z.), 81573479 (D.Y.), 81773792 (D.Y.), 81872915 (M.-W.W.), 82073904 (M.-W.W.) and 31971178 (S.Z.); Shanghai Science & Technology Development Fund grant 16ZR1407100 (A.D.); Novo Nordisk-CAS Research Fund grant NNCAS-2017-1-CC (D.Y.) and annual overhead support from ShanghaiTech University and Chinese Academy of Sciences.
Funders | Funder number |
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National Mega R&D Program for Drug Discovery | 2018ZX09735-001, 2018ZX09711002-002-005 |
Novo Nordisk-CAS Research | 8e1v8e7l2o9p1m5 |
Novo Nordisk-CAS Research Fund | NNCAS-2017-1-CC |
ShanghaiTech University enFcuen | |
Shanghai Science and Technology Development Foundation | |
National Natural Science Foundation of China | 21704064, 31971178, 81872915, 16ZR1407100, 81773792, 82073904, 81573479 M0e0g1a |
Chinese Academy of Sciences | |
National Key Research and Development Program of China | 2016YFC0905900, 2018YFA0507000 |
ShanghaiTech University |
Keywords
- Allosteric modulator
- Drug discovery
- GLP-1R
- Molecular docking
- Virtual screening