AlphaFold; Machine Learning; Protein–Protein Interactions; SARS-CoV-2; VirtualFlow; Methyltransferases; Humans; Methyltransferases/metabolism; Artificial Intelligence; Drug Discovery; SARS-CoV-2/metabolism; COVID-19; Applied Mathematics; Computational Theory and Mathematics; General Agricultural and Biological Sciences; General Immunology and Microbiology; General Biochemistry, Genetics and Molecular Biology; Information Systems
Abstract :
[en] Protein-protein interactions (PPIs) offer great opportunities to expand the druggable proteome and therapeutically tackle various diseases, but remain challenging targets for drug discovery. Here, we provide a comprehensive pipeline that combines experimental and computational tools to identify and validate PPI targets and perform early-stage drug discovery. We have developed a machine learning approach that prioritizes interactions by analyzing quantitative data from binary PPI assays or AlphaFold-Multimer predictions. Using the quantitative assay LuTHy together with our machine learning algorithm, we identified high-confidence interactions among SARS-CoV-2 proteins for which we predicted three-dimensional structures using AlphaFold-Multimer. We employed VirtualFlow to target the contact interface of the NSP10-NSP16 SARS-CoV-2 methyltransferase complex by ultra-large virtual drug screening. Thereby, we identified a compound that binds to NSP10 and inhibits its interaction with NSP16, while also disrupting the methyltransferase activity of the complex, and SARS-CoV-2 replication. Overall, this pipeline will help to prioritize PPI targets to accelerate the discovery of early-stage drug candidates targeting protein complexes and pathways.
Disciplines :
Biochemistry, biophysics & molecular biology
Author, co-author :
Trepte, Philipp ✱; Proteomics and Molecular Mechanisms of Neurodegenerative Diseases, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany. philipp.trepte@imba.oeaw.ac.at ; Brain Development and Disease, Institute of Molecular Biotechnology of the Austrian Academy of Sciences, 1030, Vienna, Austria. philipp.trepte@imba.oeaw.ac.at
Secker, Christopher ✱; Proteomics and Molecular Mechanisms of Neurodegenerative Diseases, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany. secker@zib.de ; Zuse Institute Berlin, Berlin, Germany. secker@zib.de
Olivet, Julien ✱; Université de Liège - ULiège > GIGA > GIGA Molecular Biology of Diseases - Viral Interactomes Network ; Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, 02215, USA ; Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, 02115, USA ; Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA ; Structural Biology Unit, Laboratory of Virology and Chemotherapy, Rega Institute for Medical Research, Department of Microbiology, Immunology and Transplantation, Katholieke Universiteit Leuven, 3000, Leuven, Belgium
Blavier, Jeremy ✱; Université de Liège - ULiège > GIGA > GIGA Molecular Biology of Diseases - Viral Interactomes Network
Kostova, Simona; Proteomics and Molecular Mechanisms of Neurodegenerative Diseases, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany
Minia, Igor; RNA Biology and Posttranscriptional Regulation, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin Institute for Medical Systems Biology, 13125, Berlin, Germany
Silva Ramos, Eduardo ; Proteomics and Molecular Mechanisms of Neurodegenerative Diseases, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany
Cassonnet, Patricia; Département de Virologie, Unité de Génétique Moléculaire des Virus à ARN (GMVR), Institut Pasteur, Centre National de la Recherche Scientifique (CNRS), Université de Paris, Paris, France
Golusik, Sabrina; Proteomics and Molecular Mechanisms of Neurodegenerative Diseases, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany
Zenkner, Martina; Proteomics and Molecular Mechanisms of Neurodegenerative Diseases, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany
Beetz, Stephanie; Proteomics and Molecular Mechanisms of Neurodegenerative Diseases, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany
Liebich, Mara J; Proteomics and Molecular Mechanisms of Neurodegenerative Diseases, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany
Scharek, Nadine; Proteomics and Molecular Mechanisms of Neurodegenerative Diseases, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany
Schütz, Anja ; Protein Production & Characterization, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany
Sperling, Marcel ; Multifunctional Colloids and Coating, Fraunhofer Institute for Applied Polymer Research (IAP), 14476, Potsdam-Golm, Germany
Lisurek, Michael ; Structural Chemistry and Computational Biophysics, Leibniz-Institut für Molekulare Pharmakologie (FMP), 13125, Berlin, Germany
Wang, Yang; Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, 02215, USA ; Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, 02115, USA ; Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
Spirohn, Kerstin; Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, 02215, USA ; Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, 02115, USA ; Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
Hao, Tong; Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, 02215, USA ; Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, 02115, USA ; Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
Calderwood, Michael A ; Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, 02215, USA ; Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, 02115, USA ; Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
Hill, David E ; Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, 02215, USA ; Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, 02115, USA ; Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
Landthaler, Markus ; RNA Biology and Posttranscriptional Regulation, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin Institute for Medical Systems Biology, 13125, Berlin, Germany ; Institute of Biology, Humboldt-Universität zu Berlin, 13125, Berlin, Germany
Choi, Soon Gang ; Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, 02215, USA. soongangchoi@gmail.com ; Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, 02115, USA. soongangchoi@gmail.com ; Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA. soongangchoi@gmail.com
Twizere, Jean-Claude ✱; Université de Liège - ULiège > GIGA > GIGA Molecular Biology of Diseases - Viral Interactomes Network
Vidal, Marc ✱; Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, 02215, USA. marc_vidal@dfci.harvard.edu ; Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, 02115, USA. marc_vidal@dfci.harvard.edu
Wanker, Erich E ✱; Proteomics and Molecular Mechanisms of Neurodegenerative Diseases, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany. erich.w@mdc-berlin.de
LabEx IBEID (Biologie Intégrative des Maladies Infectieuses Emergentes)
Funders :
BMBF - Bundesministerium für Bildung und Forschung HGF - Helmholtz Association of German Research Centres CHDI Foundation DKTK - Deutschen Konsortium für Translationale Krebsforschung DFG - Deutsche Forschungsgemeinschaft F.R.S.-FNRS - Fonds de la Recherche Scientifique WBI - Wallonia-Brussels International NIH - National Institutes of Health Deutsche Krebshilfe
Funding number :
Claudia Adams Barr Award; Wallonia-Brussels International (WBI)-World Excellence Fellowship
T. Abdelaal L. Michielsen D. Cats D. Hoogduin H. Mei M.J.T. Reinders A. Mahfouz A comparison of automatic cell identification methods for single-cell RNA sequencing data Genome Biol 2019 20 31500660 6734286 10.1186/s13059-019-1795-z
Ahdritz G, Bouatta N, Floristean C, Kadyan S, Xia Q, Gerecke W, O’Donnell TJ, Berenberg D, Fisk I, Zanichelli N et al (2022) OpenFold: retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalization. Preprint at bioRxiv https://www.biorxiv.org/content/10.1101/2022.11.20.517210v1
A. Alhossary S.D. Handoko Y. Mu C.-K. Kwoh Fast, accurate, and reliable molecular docking with QuickVina 2 Bioinformatics 2015 31 2214 2216 1:CAS:528:DC%2BC28XhtlamsrjJ 25717194 10.1093/bioinformatics/btv082
M.E.G. Araujo A. de, Naschberger B.G. Fürnrohr T. Stasyk T. Dunzendorfer-Matt S. Lechner S. Welti L. Kremser G. Shivalingaiah M. Offterdinger et al. Crystal structure of the human lysosomal mTORC1 scaffold complex and its impact on signaling Science 2017 358 377 381 28935770 10.1126/science.aao1583
M. Baek F. DiMaio I. Anishchenko J. Dauparas S. Ovchinnikov G.R. Lee J. Wang Q. Cong L.N. Kinch R.D. Schaeffer et al. Accurate prediction of protein structures and interactions using a three-track neural network Science 2021 373 6557 871 876 1:CAS:528:DC%2BB3MXhvVCku7zM 34282049 7612213 10.1126/science.abj8754 eabj8754
H.M. Berman J. Westbrook Z. Feng G. Gilliland T.N. Bhat H. Weissig I.N. Shindyalov P.E. Bourne The Protein Data Bank Nucleic Acids Res 2000 28 235 242 1:CAS:528:DC%2BD3cXhvVKjt7w%3D 10592235 102472 10.1093/nar/28.1.235
L.M. Bessa S. Guseva A.R. Camacho-Zarco N. Salvi D. Maurin L.M. Perez M. Botova A. Malki M. Nanao M.R. Jensen et al. The intrinsically disordered SARS-CoV-2 nucleoprotein in dynamic complex with its viral partner nsp3a Sci Adv 2022 8 eabm4034 1:CAS:528:DC%2BB38XjtlOmurc%3D 35044811 8769549 10.1126/sciadv.abm4034
I. Bludau R. Aebersold Proteomic and interactomic insights into the molecular basis of cell functional diversity Nat Rev Mol Cell Bio 2020 21 327 340 1:CAS:528:DC%2BB3cXmtVKltLs%3D 10.1038/s41580-020-0231-2
M. Bouvet C. Debarnot I. Imbert B. Selisko E.J. Snijder B. Canard E. Decroly In vitro reconstitution of SARS-coronavirus mRNA cap methylation Plos Pathog 2010 6 e1000863 20421945 2858705 10.1371/journal.ppat.1000863
P. Braun M. Tasan M. Dreze M. Barrios-Rodiles I. Lemmens H. Yu J.M. Sahalie R.R. Murray L. Roncari A.-S. Smet A-Sde et al. An experimentally derived confidence score for binary protein-protein interactions Nat Methods 2009 6 91 97 1:CAS:528:DC%2BD1cXhsVKlt7%2FF 19060903 10.1038/nmeth.1281
L. Breiman Random forests Mach Learn 2001 45 5 32 10.1023/A:1010933404324
P. Bryant G. Pozzati A. Elofsson Improved prediction of protein-protein interactions using AlphaFold2 Nat Commun 2022 13 1:CAS:528:DC%2BB38XmvVyisb0%3D 35273146 8913741 10.1038/s41467-022-28865-w
Burke DF, Bryant P, Barrio-Hernandez I, Memon D, Pozzati G, Shenoy A, Zhu W, Dunham AS, Albanese P, Keller A, et al (2023) Towards a structurally resolved human protein interaction network. Nat Struct Mol Biol 30:216–225
E. Callaway Revolutionary cryo-EM is taking over structural biology Nature 2020 578 201 201 1:CAS:528:DC%2BB3cXktlCltbs%3D 32047310 10.1038/d41586-020-00341-9
P. Cassonnet C. Rolloy G. Neveu P.-O. Vidalain T. Chantier J. Pellet L. Jones M. Muller C. Demeret G. Gaud et al. Benchmarking a luciferase complementation assay for detecting protein complexes Nat Methods 2011 8 990 992 1:CAS:528:DC%2BC3MXhsFeitL3J 22127214 10.1038/nmeth.1773
C.-C. Chang C.-J. Lin LIBSVM: a library for support vector machines Acm Trans Intell Syst Technol Tist 2011 2 27
Y. Chen C. Su M. Ke X. Jin L. Xu Z. Zhang A. Wu Y. Sun Z. Yang P. Tien et al. Biochemical and structural insights into the mechanisms of SARS coronavirus RNA ribose 2′-O-methylation by nsp16/nsp10 protein complex Plos Pathog 2011 7 e1002294 1:CAS:528:DC%2BC3MXhsVWqsrfN 22022266 3192843 10.1371/journal.ppat.1002294
A. Cheng K.M. Merz Prediction of aqueous solubility of a diverse set of compounds using quantitative Structure−property relationships J Med Chem 2003 46 3572 3580 1:CAS:528:DC%2BD3sXls1egsrY%3D 12904062 10.1021/jm020266b
S.G. Choi J. Olivet P. Cassonnet P.-O. Vidalain K. Luck L. Lambourne K. Spirohn I. Lemmens M.D. Santos C. Demeret et al. Maximizing binary interactome mapping with a minimal number of assays Nat Commun 2019 10 31467278 6715725 10.1038/s41467-019-11809-2
T. Clackson J.A. Wells A hot spot of binding energy in a hormone-receptor interface Science 1995 267 383 386 1:CAS:528:DyaK2MXjt12nsbs%3D 7529940 10.1126/science.7529940
C. Cortes V. Vapnik Support-vector networks Mach Learn 1995 20 273 297 10.1007/BF00994018
T.R.D. Costa A. Ignatiou E.V. Orlova Bacterial protein secretion systems, methods and protocols Methods Mol Biol 2017 1615 377 413 28667626 10.1007/978-1-4939-7033-9_28
E.P. Coutant G. Gagnot V. Hervin R. Baatallah S. Goyard Y. Jacob T. Rose Y.L. Janin Bioluminescence profiling of NanoKAZ/NanoLuc luciferase using a chemical library of coelenterazine analogues Chem European J 2020 26 948 958 1:CAS:528:DC%2BB3cXht1GgtbY%3D 10.1002/chem.201904844
S. Daffis K.J. Szretter J. Schriewer J. Li S. Youn J. Errett T.-Y. Lin S. Schneller R. Zust H. Dong et al. 2′-O methylation of the viral mRNA cap evades host restriction by IFIT family members Nature 2010 468 452 456 1:CAS:528:DC%2BC3cXhsVeis7%2FO 21085181 3058805 10.1038/nature09489
E. Decroly C. Debarnot F. Ferron M. Bouvet B. Coutard I. Imbert L. Gluais N. Papageorgiou A. Sharff G. Bricogne et al. Crystal structure and functional analysis of the SARS-coronavirus RNA Cap 2′-O-methyltransferase nsp10/nsp16 complex Plos Pathog 2011 7 e1002059 1:CAS:528:DC%2BC3MXntVajsrY%3D 21637813 3102710 10.1371/journal.ppat.1002059
A.S. Dixon M.K. Schwinn M.P. Hall K. Zimmerman P. Otto T.H. Lubben B.L. Butler B.F. Binkowski T. Machleidt T.A. Kirkland et al. NanoLuc complementation reporter optimized for accurate measurement of protein interactions in cells ACS Chem Biol 2015 11 acschembio.5b00753
K. Drew J.B. Wallingford E.M. Marcotte hu.MAP 2.0: integration of over 15,000 proteomic experiments builds a global compendium of human multiprotein assemblies Mol Syst Biol 2021 17 e10016 33973408 8111494 10.15252/msb.202010016
Evans R, O’Neill M, Pritzel A, Antropova N, Senior A, Green T, Žídek A, Bates R, Blackwell S, Yim J et al (2022) Protein complex prediction with AlphaFold-Multimer. Preprint at Biorxiv https://www.biorxiv.org/content/10.1101/2021.10.04.463034v1
S. Eyckerman A. Verhee J.V. Heyden I. der, Lemmens X.V. Ostade J. Vandekerckhove J. Tavernier Design and application of a cytokine-receptor-based interaction trap Nat Cell Biol 2001 3 1114 1119 1:CAS:528:DC%2BD3MXpt1Gnsr4%3D 11781573 10.1038/ncb1201-1114
M. Gao D.N. An J.M. Parks J. Skolnick AF2Complex predicts direct physical interactions in multimeric proteins with deep learning Nat Commun 2022 13 1:CAS:528:DC%2BB38XovVels78%3D 35365655 8975832 10.1038/s41467-022-29394-2
S.H. Giese L.R. Sinn F. Wegner J. Rappsilber Retention time prediction using neural networks increases identifications in crosslinking mass spectrometry Nat Commun 2021 12 1:CAS:528:DC%2BB3MXhsVOqsLfE 34050149 8163845 10.1038/s41467-021-23441-0
Gorgulla C, Boeszoermenyi A, Wang Z-F, Fischer PD, Coote P, Das KMP, Malets YS, Radchenko DS, Moroz YS, Scott DA et al (2020) An open-source drug discovery platform enables ultra-large virtual screens. Nature 580:663–668
C. Gorgulla K.M.P. Das K.E. Leigh M. Cespugli P.D. Fischer Z.-F. Wang G. Tesseyre S. Pandita A. Shnapir A. Calderaio et al. A multi-pronged approach targeting SARS-CoV-2 proteins using ultra-large virtual screening Iscience 2021 24 102021 1:CAS:528:DC%2BB3MXjvVGgtro%3D 33426509 7783459 10.1016/j.isci.2020.102021
M. Guharoy P. Chakrabarti Conserved residue clusters at protein-protein interfaces and their use in binding site identification Bmc Bioinforma 2010 11 10.1186/1471-2105-11-286
R. Gupta J. Charron C.L. Stenger J. Painter H. Steward T.W. Cook W. Faber A. Frisch E. Lind J. Bauss et al. SARS-CoV-2 (COVID-19) structural and evolutionary dynamicome: insights into functional evolution and human genomics J Biol Chem 2020 295 11742 11753 1:CAS:528:DC%2BB3cXhvVSit7vE 32587094 7450099 10.1074/jbc.RA120.014873
I. Halperin H. Wolfson R. Nussinov Protein-protein interactions coupling of structurally conserved residues and of hot spots across interfaces. Implications for Docking Structure 2004 12 1027 1038 1:CAS:528:DC%2BD2cXkslWrtL4%3D 15274922 10.1016/j.str.2004.04.009
J.R. Hamre M.S. Jafri Optimizing peptide inhibitors of SARS-Cov-2 nsp10/nsp16 methyltransferase predicted through molecular simulation and machine learning Inform Med Unlocked 2022 29 100886 35252541 8883729 10.1016/j.imu.2022.100886
S.D. Harding J.L. Sharman E. Faccenda C. Southan A.J. Pawson S. Ireland A.J.G. Gray L. Bruce S.P.H. Alexander S. Anderton et al. The IUPHAR/BPS Guide to PHARMACOLOGY in 2018: updates and expansion to encompass the new guide to IMMUNOPHARMACOLOGY Nucleic Acids Res 2018 46 D1091 D1106 1:CAS:528:DC%2BC1cXitlGisL7O 29149325 10.1093/nar/gkx1121
D. Horvath M. Lisurek B. Rupp R. Kühne E. Specker J. Kries D. von, Rognan C.D. Andersson F. Almqvist M. Elofsson et al. Design of a general‐purpose European compound screening library for EU‐OPENSCREEN Chemmedchem 2014 9 2309 2326 1:CAS:528:DC%2BC2cXhtFCrsr7J 25044981 10.1002/cmdc.201402126
Y.J. Hou K. Okuda C.E. Edwards D.R. Martinez T. Asakura K.H. Dinnon T. Kato R.E. Lee B.L. Yount T.M. Mascenik et al. SARS-CoV-2 reverse genetics reveals a variable infection gradient in the respiratory tract Cell 2020 182 429 446.e14 1:CAS:528:DC%2BB3cXhtFGhtrbI 32526206 7250779 10.1016/j.cell.2020.05.042
K. Hsiao H. Zegzouti S.A. Goueli Methyltransferase-Glo: a universal, bioluminescent and homogenous assay for monitoring all classes of methyltransferases Epigenomics 2016 8 321 339 1:CAS:528:DC%2BC28XktVOju7c%3D 26950288 10.2217/epi.15.113
I.R. Humphreys J. Pei M. Baek A. Krishnakumar I. Anishchenko S. Ovchinnikov J. Zhang T.J. Ness S. Banjade S.R. Bagde et al. Computed structures of core eukaryotic protein complexes Science 2021 374 eabm4805 1:CAS:528:DC%2BB3MXislKnsbzE 34762488 7612107 10.1126/science.abm4805
E.L. Huttlin R.J. Bruckner J. Navarrete-Perea J.R. Cannon K. Baltier F. Gebreab M.P. Gygi A. Thornock G. Zarraga S. Tam et al. Dual proteome-scale networks reveal cell-specific remodeling of the human interactome Cell 2021 184 3022 3040.e28 1:CAS:528:DC%2BB3MXhtVGitLrJ 33961781 8165030 10.1016/j.cell.2021.04.011
Y. Jiang K. Tong R. Yao Y. Zhou H. Lin L. Du Y. Jin L. Cao J. Tan X.-D. Zhang et al. Genome-wide analysis of protein–protein interactions and involvement of viral proteins in SARS-CoV-2 replication Cell Biosci 2021 11 140 1:CAS:528:DC%2BB3MXhs1ClurzF 34294141 8295636 10.1186/s13578-021-00644-y
Jumper J, Evans R, Pritzel A, Green T, Figurnov M, Ronneberger O, Tunyasuvunakool K, Bates R, Žídek A, Potapenko A et al (2021) Highly accurate protein structure prediction with AlphaFold. Nature 596:583–589
M. Ke Y. Chen A. Wu Y. Sun C. Su H. Wu X. Jin J. Tao Y. Wang X. Ma et al. Short peptides derived from the interaction domain of SARS coronavirus nonstructural protein nsp10 can suppress the 2′-O-methyltransferase activity of nsp10/nsp16 complex Virus Res 2012 167 322 328 1:CAS:528:DC%2BC38XoslGks7g%3D 22659295 10.1016/j.virusres.2012.05.017
D.M. Kern B. Sorum S.S. Mali C.M. Hoel S. Sridharan J.P. Remis D.B. Toso A. Kotecha D.M. Bautista S.G. Brohawn Cryo-EM structure of SARS-CoV-2 ORF3a in lipid nanodiscs Nat Struct Mol Biol 2021 28 573 582 1:CAS:528:DC%2BB3MXhtl2ju7fI 34158638 8772433 10.1038/s41594-021-00619-0
D.-K. Kim J.J. Knapp D. Kuang A. Chawla P. Cassonnet H. Lee D. Sheykhkarimli P. Samavarchi-Tehrani H. Abdouni A. Rayhan et al. A comprehensive, flexible collection of SARS-CoV-2 coding regions G3 Genes Genomes Genetics 2020 10 3399 3402 1:CAS:528:DC%2BB3MXmvVWmurw%3D 32763951 7467003 10.1534/g3.120.401554
Kim D-K, Weller B, Lin C-W, Sheykhkarimli D, Knapp JJ, Dugied G, Zanzoni A, Pons C, Tofaute MJ, Maseko SB et al (2022) A proteome-scale map of the SARS-CoV-2–human contactome. Nat Biotechnol 41:140–149
H.J. Kim T. Kim N.J. Hoffman D. Xiao D.E. James S.J. Humphrey P. Yang PhosR enables processing and functional analysis of phosphoproteomic data Cell Rep 2021 34 108771 1:CAS:528:DC%2BB3MXltFyksr0%3D 33626354 10.1016/j.celrep.2021.108771
D. Krause P. Thörnig JURECA: modular supercomputer at Jülich Supercomputing Centre J Large-scale Res Facil Jlsrf 2018 4 132 10.17815/jlsrf-4-121-1
E. Krissinel K. Henrick Inference of macromolecular assemblies from crystalline state J Mol Biol 2007 372 774 797 1:CAS:528:DC%2BD2sXpvFGktb8%3D 17681537 10.1016/j.jmb.2007.05.022
S. Lenz L.R. Sinn F.J. O’Reilly L. Fischer F. Wegner J. Rappsilber Reliable identification of protein-protein interactions by crosslinking mass spectrometry Nat Commun 2021 12 1:CAS:528:DC%2BB3MXhsVOqtLrL 34117231 8196013 10.1038/s41467-021-23666-z
J. Li M. Guo X. Tian X. Wang X. Yang P. Wu C. Liu Z. Xiao Y. Qu Y. Yin et al. Virus-host interactome and proteomic survey reveal potential virulence factors influencing SARS-CoV-2 pathogenesis Med 2021 2 99 112.e7 1:CAS:528:DC%2BB38XhvVGks7zK 32838362 10.1016/j.medj.2020.07.002
S. Lievens S. Gerlo I. Lemmens D.J.H.D. Clercq M.D.P. Risseeuw N. Vanderroost A.-S.D. Smet E. Ruyssinck E. Chevet S.V. Calenbergh et al. Kinase substrate sensor (KISS), a mammalian in situ protein interaction sensor Mol Cell Proteomics 2014 13 3332 3342 1:CAS:528:DC%2BC2cXhvF2rtrrN 25154561 4256487 10.1074/mcp.M114.041087
S. Lin H. Chen Z. Chen F. Yang F. Ye Y. Zheng J. Yang X. Lin H. Sun L. Wang et al. Crystal structure of SARS-CoV-2 nsp10 bound to nsp14-ExoN domain reveals an exoribonuclease with both structural and functional integrity Nucleic Acids Res 2021 49 gkab320 10.1093/nar/gkab320
H. Lu Q. Zhou J. He Z. Jiang C. Peng R. Tong J. Shi Recent advances in the development of protein–protein interactions modulators: mechanisms and clinical trials Signal Transduct Target Ther 2020 5 213 32968059 7511340 10.1038/s41392-020-00315-3
K. Luck D.-K. Kim L. Lambourne K. Spirohn B.E. Begg W. Bian R. Brignall T. Cafarelli F.J. Campos-Laborie B. Charloteaux et al. A reference map of the human binary protein interactome Nature 2020 580 402 408 1:CAS:528:DC%2BB3cXmslejurc%3D 32296183 7169983 10.1038/s41586-020-2188-x
A. Lugari S. Betzi E. Decroly E. Bonnaud A. Hermant J.-C. Guillemot C. Debarnot J.-P. Borg M. Bouvet B. Canard et al. Molecular mapping of the RNA Cap 2′-O-methyltransferase activation interface between severe acute respiratory syndrome coronavirus nsp10 and nsp16* J Biol Chem 2010 285 33230 33241 1:CAS:528:DC%2BC3cXht12nu7jI 20699222 2963367 10.1074/jbc.M110.120014
L.N. Makley J.E. Gestwicki Expanding the number of ‘druggable’ targets: non‐enzymes and protein–protein interactions Chem Biol Drug Des 2013 81 22 32 1:CAS:528:DC%2BC3sXlt1ymtQ%3D%3D 23253128 3531880 10.1111/cbdd.12066
V.S. Mandala M.J. McKay A.A. Shcherbakov A.J. Dregni A. Kolocouris M. Hong Structure and drug binding of the SARS-CoV-2 envelope protein transmembrane domain in lipid bilayers Nat Struct Mol Biol 2020 27 1202 1208 1:CAS:528:DC%2BB3cXitlWktbzL 33177698 7718435 10.1038/s41594-020-00536-8
M.J. Meyer J.F. Beltrán S. Liang R. Fragoza A. Rumack J. Liang X. Wei H. Yu Interactome INSIDER: a structural interactome browser for genomic studies Nat Methods 2018 15 107 114 1:CAS:528:DC%2BC1cXhtlKjtg%3D%3D 29355848 6026581 10.1038/nmeth.4540
Mirdita M, Schütze K, Moriwaki Y, Heo L, Ovchinnikov S, Steinegger M (2022) ColabFold: making protein folding accessible to all. Nat Methods 19:679–682
R. Nencka J. Silhan M. Klima T. Otava H. Kocek P. Krafcikova E. Boura Coronaviral RNA-methyltransferases: function, structure and inhibition Nucleic Acids Res 2022 50 gkab1279 10.1093/nar/gkab1279 -
S. Orchard M. Ammari B. Aranda L. Breuza L. Briganti F. Broackes-Carter N.H. Campbell G. Chavali C. Chen N. del-Toro et al. The MIntAct project—IntAct as a common curation platform for 11 molecular interaction databases Nucleic Acids Res 2014 42 D358 D363 1:CAS:528:DC%2BC2cXoslKg 24234451 10.1093/nar/gkt1115
F. Pedregosa G. Varoquaux A. Gramfort V. Michel B. Thirion O. Grisel M. Blondel P. Prettenhofer R. Weiss V. Dubourg et al. Scikit-learn: machine learning in Python JMLR 2011 12 2825 2830
L. Perfetto C. Pastrello N. del-Toro M. Duesbury M. Iannuccelli M. Kotlyar L. Licata B. Meldal K. Panneerselvam S. Panni et al. The IMEx coronavirus interactome: an evolving map of Coronaviridae–host molecular interactions Database J Biol Databases Curation 2020 2020 baaa096
A. Petrovic J. Keller Y. Liu K. Overlack J. John Y.N. Dimitrova S. Jenni S. Gerwen P. van, Stege S. Wohlgemuth et al. Structure of the MIS12 complex and molecular basis of its interaction with CENP-C at human kinetochores Cell 2016 167 1028 1040.e15 1:CAS:528:DC%2BC28XhslOhtLfJ 27881301 5101189 10.1016/j.cell.2016.10.005
R. Quiroga M.A. Villarreal Vinardo: a scoring function based on autodock vina improves scoring, docking, and virtual screening PLoS ONE 2016 11 e0155183 27171006 4865195 10.1371/journal.pone.0155183
J. Rabl R.D. Bunker A.D. Schenk S. Cavadini M.E. Gill W. Abdulrahman A. Andrés-Pons M.S. Luijsterburg A.F.M. Ibrahim E. Branigan et al. Structural basis of BRCC36 function in DNA repair and immune regulation Mol Cell 2019 75 483 497.e9 1:CAS:528:DC%2BC1MXht1GisLjN 31253574 6695476 10.1016/j.molcel.2019.06.002
P. Ramdhan C. Li Targeting viral methyltransferases: an approach to antiviral treatment for ssRNA Viruses. Viruses 2022 14 379 1:CAS:528:DC%2BB38XlsFGhsLs%3D 35215972 10.3390/v14020379
M.S. Ringel J.W. Scannell M. Baedeker U. Schulze Breaking Eroom’s law Nat Rev Drug Discov 2020 19 833 834 1:CAS:528:DC%2BB3cXisVCltr%2FI 32300238 10.1038/d41573-020-00059-3
M. Rosas-Lemus G. Minasov L. Shuvalova N.L. Inniss O. Kiryukhina J. Brunzelle K.J.F. Satchell High-resolution structures of the SARS-CoV-2 2′-O-methyltransferase reveal strategies for structure-based inhibitor design Sci Signal 2020 13 eabe1202 1:CAS:528:DC%2BB3cXhvF2itLrP 32994211 8028745 10.1126/scisignal.abe1202
Rual J-F, Hirozane-Kishikawa T, Hao T, Bertin N, Li S, Dricot A, Li N, Rosenberg J, Lamesch P, Vidalain P-O, et al (2004) Human ORFeome Version 1.1: A Platform for Reverse Proteomics. Genome Res 14:2128–2135
R. Santos O. Ursu A. Gaulton A.P. Bento R.S. Donadi C.G. Bologa A. Karlsson B. Al-Lazikani A. Hersey T.I. Oprea et al. A comprehensive map of molecular drug targets Nat Rev Drug Discov 2017 16 19 34 1:CAS:528:DC%2BC28XitVSms7rK 27910877 10.1038/nrd.2016.230
C.P. Sarnowski M. Bikaki A. Leitner Cross-linking and mass spectrometry as a tool for studying the structural biology of ribonucleoproteins Structure 2022 30 441 461 1:CAS:528:DC%2BB38XovFSit7c%3D 35366400 10.1016/j.str.2022.03.003
A.G. Savitt S. Manimala T. White M. Fandaros W. Yin H. Duan X. Xu B.V. Geisbrecht D.A. Rubenstein A.P. Kaplan et al. SARS-CoV-2 exacerbates COVID-19 pathology through activation of the complement and kinin systems Front Immunol 2021 12 767347 1:CAS:528:DC%2BB38XhtlKgsbvM 34804054 8602850 10.3389/fimmu.2021.767347
J.W. Scannell A. Blanckley H. Boldon B. Warrington Diagnosing the decline in pharmaceutical R&D efficiency Nat Rev Drug Discov 2012 11 191 200 1:CAS:528:DC%2BC38XivFyhtrY%3D 22378269 10.1038/nrd3681
S.A.I. Seidel C.J. Wienken S. Geissler M. Jerabek‐Willemsen S. Duhr A. Reiter D. Trauner D. Braun P. Baaske Label‐free microscale thermophoresis discriminates sites and affinity of protein–ligand binding Angew Chem Int Ed 2012 51 10656 10659 1:CAS:528:DC%2BC38Xhtl2qu73F 10.1002/anie.201204268
M. Taipale I. Krykbaeva M. Koeva C. Kayatekin K.D. Westover G.I. Karras S. Lindquist Quantitative analysis of HSP90-client interactions reveals principles of substrate recognition Cell 2012 150 987 1001 1:CAS:528:DC%2BC38XhtlSns7bF 22939624 3894786 10.1016/j.cell.2012.06.047
N. Toro A. del, Shrivastava E. Ragueneau B. Meldal C. Combe E. Barrera L. Perfetto K. How P. Ratan G. Shirodkar et al. The IntAct database: efficient access to fine-grained molecular interaction data Nucleic Acids Res 2021 50 D648 D653 8728211
P. Trepte A. Buntru K. Klockmeier L. Willmore A. Arumughan C. Secker M. Zenkner L. Brusendorf K. Rau A. Redel et al. DULIP: a dual luminescence-based co-immunoprecipitation assay for interactome mapping in mammalian cells J Mol Biol 2015 427 3375 3388 1:CAS:528:DC%2BC2MXhtleksrrP 26264872 10.1016/j.jmb.2015.08.003
P. Trepte S. Kruse S. Kostova S. Hoffmann A. Buntru A. Tempelmeier C. Secker L. Diez A. Schulz K. Klockmeier et al. LuTHy: a double‐readout bioluminescence‐based two‐hybrid technology for quantitative mapping of protein–protein interactions in mammalian cells Mol Syst Biol 2018 14 e8071 29997244 6039870 10.15252/msb.20178071
O. Trott A.J. Olson AutoDock Vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading J Comput Chem 2010 31 455 461 1:CAS:528:DC%2BD1MXhsFGnur3O 19499576 3041641 10.1002/jcc.21334
Tunyasuvunakool K, Adler J, Wu Z, Green T, Zielinski M, Žídek A, Bridgland A, Cowie A, Meyer C, Laydon A et al (2021) Highly accurate protein structure prediction for the human proteome. Nature 596:590–596
K. Venkatesan J.-F. Rual A. Vazquez U. Stelzl I. Lemmens T. Hirozane-Kishikawa T. Hao M. Zenkner X. Xin K.-I. Goh et al. An empirical framework for binary interactome mapping Nat Methods 2009 6 83 90 1:CAS:528:DC%2BD1cXhsVKlt7%2FE 19060904 10.1038/nmeth.1280
M. Vidal M.E. Cusick A.-L. Barabási Interactome networks and human disease Cell 2011 144 986 998 1:CAS:528:DC%2BC3MXjsFCrtrs%3D 21414488 3102045 10.1016/j.cell.2011.02.016
A.C. Walls Y.-J. Park M.A. Tortorici A. Wall A.T. McGuire D. Veesler Structure, function, and antigenicity of the SARS-CoV-2 spike glycoprotein Cell 2020 181 281 292.e6 1:CAS:528:DC%2BB3cXkvVejsLk%3D 32155444 7102599 10.1016/j.cell.2020.02.058
Y. Wang Y. Sun A. Wu S. Xu R. Pan C. Zeng X. Jin X. Ge Z. Shi T. Ahola et al. Coronavirus nsp10/nsp16 methyltransferase can be targeted by nsp10-derived peptide in vitro and in vivo to reduce replication and pathogenesis J Virol 2015 89 8416 8427 1:CAS:528:DC%2BC2MXht12htr3L 26041293 4524257 10.1128/JVI.00948-15
M. Wilamowski M. Hammel W. Leite Q. Zhang Y. Kim K.L. Weiss R. Jedrzejczak D.J. Rosenberg Y. Fan J. Wower et al. Transient and stabilized complexes of Nsp7, Nsp8, and Nsp12 in SARS-CoV-2 replication Biophys J 2021 120 3152 3165 1:CAS:528:DC%2BB3MXhsV2jtLnE 34197805 8238635 10.1016/j.bpj.2021.06.006
J.D. Wrigley G. Gavory I. Simpson M. Preston H. Plant J. Bradley A.U. Goeppert E. Rozycka G. Davies J. Walsh et al. Identification and characterization of dual inhibitors of the USP25/28 deubiquitinating enzyme subfamily ACS Chem Biol 2017 12 3113 3125 1:CAS:528:DC%2BC2sXhsl2gs7zI 29131570 10.1021/acschembio.7b00334
L. Yan Y. Yang M. Li Y. Zhang L. Zheng J. Ge Y.C. Huang Z. Liu T. Wang S. Gao et al. Coupling of N7-methyltransferase and 3′-5′ exoribonuclease with SARS-CoV-2 polymerase reveals mechanisms for capping and proofreading Cell 2021 184 3474 3485.e11 1:CAS:528:DC%2BB3MXhtlKrt7fM 34143953 8142856 10.1016/j.cell.2021.05.033
Yang P, Liu W, Yang J (2017) Positive unlabeled learning via wrapper-based adaptive sampling. Proc Twenty-sixth Int Jt Conf Artif Intell IJCAI-17:3273–3279
P. Yang J.T. Ormerod W. Liu C. Ma A.Y. Zomaya J.Y.H. Yang AdaSampling for positive-unlabeled and label noise learning with bioinformatics applications IEEE T Cybernet 2019 49 1932 1943 10.1109/TCYB.2018.2816984
X. Yang J.S. Boehm X. Yang K. Salehi-Ashtiani T. Hao Y. Shen R. Lubonja S.R. Thomas O. Alkan T. Bhimdi et al. A public genome-scale lentiviral expression library of human ORFs Nat Methods 2011 8 659 661 1:CAS:528:DC%2BC3MXotV2htrw%3D 21706014 3234135 10.1038/nmeth.1638
Z. Yao F. Aboualizadeh J. Kroll I. Akula J. Snider A. Lyakisheva P. Tang M. Kotlyar I. Jurisica M. Boxem et al. Split intein-mediated protein ligation for detecting protein-protein interactions and their inhibition Nat Commun 2020 11 1:CAS:528:DC%2BB3cXpslyrs7s%3D 32415080 7229206 10.1038/s41467-020-16299-1
W. Yin C. Mao X. Luan D.-D. Shen Q. Shen H. Su X. Wang F. Zhou W. Zhao M. Gao et al. Structural basis for inhibition of the RNA-dependent RNA polymerase from SARS-CoV-2 by remdesivir Science 2020 368 1499 1504 1:CAS:528:DC%2BB3cXht1CltLfK 32358203 7199908 10.1126/science.abc1560
Z. Yuan B. Hu H. Xiao X. Tan Y. Li K. Tang Y. Zhang K. Cai B. Ding The E3 ubiquitin ligase RNF5 facilitates SARS-CoV-2 membrane protein-mediated virion release mBio 2022 13 e03168 21 1:CAS:528:DC%2BB38XnslOnsLg%3D 8805027 10.1128/mbio.03168-21