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Topf Group

Integrative Virology

Prof. Dr. Maya Topf

Group Leader

+49 040 8998 87660
maya.topf@cssb-hamburg.de

Home Institute

Leibniz Institute of Virology
www.leibniz-liv.de/

University Medical Center Hamburg-Eppendorf
www.uke.de/

Our research is focused on the development of integrative structural methods, combining experimental data with bioinformatics and modelling techniques, to characterise macromolecular machines.

Research Projects

Our research is focused on the development of integrative structural methods, combining experimental data with bioinformatics and modelling techniques, to characterise macromolecular machines. Structural models are further analysed to understand their function and design new experiments. The group is particularly interested in using data from cryoEM, cryoET, and Mass Spectrometry. In collaboration with experimentalists, specific systems we currently study include HSV-1 and HCMV sub-complexes, ligand-gated ion channels, and microtubule complexes.

 

3D-EM Model Validation and Refinement

Our group focuses on developing tools for image processing, fitting, and assessing atomic models in cryo-EM maps. These methods are used to characterize macromolecular assemblies. Recently, we developed the TEMPy-ReFF software for the refinement of atomic models in cryo-EM maps using a Gaussian Mixture Model (GMM). This method has been used to refine and assess models submitted for CASP15 cryo-EM targets, including RNA targets. We also developed ChemEM for the fitting and refinement of small molecules in cryo-EM maps
Beton*, Mulvaney* et al., Nat Commun 2024, Sweeney et al., J Med Chem 2024 

Mass Spectrometry-based Modelling

We developed various methods to assess models of protein structures based on cross-links and mono-links derived from mass spectrometry. Our most recent method for calculating cross-link/mono-link-based model scores is called XLMS-tools. Our methodology, guided by these scores, has proven effective in identifying accurate models within AlphaFold2 ensembles.
Manalastas-Kantos et al., Mol Cell Proteomics 2024

Protein-Protein Interaction Networks in Viruses

We use protein-protein interaction (PPI) network analysis to provide new functional characterizations of virus families. We developed a computational framework for PPI network assembly, which combines both experimentally validated and computationally predicted PPI data. Using this framework, we created system-level compilations of the binary interactions among virally-encoded proteins. We applied it to three different species of human herpesviruses. Using a consensus clustering approach, we studied the community structure of the network data and revealed higher-order functional associations among viral proteins. Combined with AlphaFold2 assembly modeling and interface analysis by PI-score and PICKLUSTER, we can model direct interactions predicted in our networks.
Hernández-Durán et al, PLoS Biol 2019, Malhotra et al., Nat Commun 2021, Genz et al. Bioinformatics 2023

Research Team

18

Group Leader

Prof. Dr. Maya Topf
Phone:+49 40 8998 87660

E-Mail

Team Assistant

Chantelle Stieghan
Phone:+49 40 8998 87661

E-Mail

Master Student

Younus Al-Saadi

E-Mail

PhD Student

Gabriele Diana

E-Mail

PhD Student

Luca Genz
Phone:+49 040 8998 87667

E-Mail

Data Science Specialist

Dr. Fabian Hausmann

E-Mail

PhD Student

Pasquale Lamagna

E-Mail

Postdoctoral Scientist

Mauro Maiorca
Phone:+49 40 8998 87663

E-Mail

Postdoctoral Scientist

Dr. Karen Manalastas-Cantos
Phone:+49 40 8998 87663

E-Mail

Postdoctoral Scientist

Guendalina Marini
Phone:+49 040 8998 87667

E-Mail

Biological TA

Dr. Birgit Märtens

E-Mail

Postdoctoral Scientist

Thomas Mulvaney

E-Mail

Staff Scientist

Dr. Nathan Nagar

E-Mail

Postdoctoral Scientist

Sanjana Nair

E-Mail

Postdoctoral Scientist

Matthias Pfeifer
Phone:+49 40 8998 87669

E-Mail

PhD Student

Annika Rammelt

E-Mail

Postdoctoral Scientist

Aaron Sweeney

E-Mail

PhD Student

Annika Zaayenga

E-Mail

Publications

Cook AD, Roberts AJ, Atherton J, Tewari R, Topf M, Moores CA (2021) Cryo-EM structure of a microtubule-bound parasite kinesin motor and implications for its mechanism and inhibition. J Biol Chem. 101063. doi: 10.1016/j.jbc.2021.101063.

Malhotra S, Joseph A-P, Topf M (2021) Using known components or homologs: model building. In: Glaeser RM, Nogales E, Chiu W (eds) Single-particle Cryo-EM of Biological Macromolecules, Biophysica. IOP Publishing, Bristol, UK, pp 244–247

Peña A, Sweeney A, Cook AD, Locke J, Topf M, Moores CA (2021) Structure of Microtubule-Trapped Human Kinesin-5 and Its Mechanism of Inhibition Revealed Using Cryoelectron Microscopy. Structure. 28(4):450-457.e5. doi: 10.1016/j.str.2020.01.013

Cragnolini T, Sweeney A, Topf M (2021b) Automated Modeling and Validation of Protein Complexes in Cryo-EM Maps. Methods Mol Biol 2215:189–223. https://doi.org/10.1007/978-1-0716-0966-8_9

2020

Cif L, Demailly D, Lin J-P, et al (2020) KMT2B-related disorders: expansion of the phenotypic spectrum and long-term efficacy of deep brain stimulation. Brain. https://doi.org/10.1093/brain/awaa304

Joseph AP, Lagerstedt I, Jakobi A, Burnley T, Patwardhan A, Topf M, Winn M (2020) Comparing Cryo-EM Reconstructions and Validating Atomic Model Fit Using Difference Maps. J Chem Inf Model 60:2552–2560. https://doi.org/10.1021/acs.jcim.9b01103

Peña A, Sweeney A, Cook AD, Locke J,Topf M, Moores CA (2020) Structure of Microtubule-Trapped Human Kinesin-5 and Its Mechanism of Inhibition Revealed Using Cryoelectron Microscopy. Structure 28:450-457.e5. https://doi.org/10.1016/j.str.2020.01.013

Sinnott M, Malhotra S, Madhusudhan MS, Thalassinos K, Topf M (2020) Combining Information from Crosslinks and Monolinks in the Modeling of Protein Structures. Structure 28:1061-1070.e3. https://doi.org/10.1016/j.str.2020.05.012

Vollmer B, Pražák V, Vasishtan D, Jefferys EE , Hernandez-Duran A, Vallbracht M, Klupp B, Mettenleiter TC, Backovic M, Rey FA, Topf M, Grünewald K (2020) The prefusion structure of herpes simplex virus glycoprotein B. Sci Adv Adv 6:1–11

2019

Carecchio M, Invernizzi F, Gonzàlez-Latapi P, et al (2019) Frequency and phenotypic spectrum of KMT2B dystonia in childhood: A single-center cohort study. Mov Disord 34:1516–1527. https://doi.org/10.1002/mds.27771

Demetriou C, Chanudet E, Joseph A, et al (2019) Exome sequencing identifies variants in FKBP4 that are associated with recurrent fetal loss in humans. Hum Mol Genet 28:3466–3474. https://doi.org/10.1093/hmg/ddz203

Hernández Durán A, Greco TM, Vollmer B, et al (2019a) Protein interactions and consensus clustering analysis uncover insights into herpesvirus virion structure and function relationships. PLoS Biol 17:. https://doi.org/10.1371/journal.pbio.3000316

Hernández Durán A, Grünewald K, Topf M (2019b) Conserved Central Intraviral Protein Interactome of the Herpesviridae Family. mSystems 4:. https://doi.org/10.1128/msystems.00295-19

Ignatiou A, Brasilès S, El Sadek Fadel M, et al (2019) Structural transitions during the scaffolding-driven assembly of a viral capsid. Nat Commun 10:4840. https://doi.org/10.1038/s41467-019-12790-6

Kryshtafovych A, Malhotra S, Monastyrskyy B, et al (2019a) Cryo-electron microscopy targets in CASP13: Overview and evaluation of results. Proteins Struct Funct Bioinforma 87:1128–1140. https://doi.org/10.1002/prot.25817

Kryshtafovych A, Schwede T, Topf M, et al (2019b) Critical assessment of methods of protein structure prediction (CASP)—Round XIII. Proteins Struct. Funct. Bioinforma. 87:1011–1020

Lepore R, Kryshtafovych A, Alahuhta M, et al (2019) Target highlights in CASP13: Experimental target structures through the eyes of their authors. Proteins Struct Funct Bioinforma 87:1037–1057. https://doi.org/10.1002/prot.25805

Malhotra S, Träger S, Dal Peraro M, Topf M (2019) Modelling structures in cryo-EM maps. Curr. Opin. Struct. Biol. 58:105–114

Pereira R, Gendron T, Sanghera C, et al (2019) Mapping Aldehyde Dehydrogenase 1A1 Activity using an [18 F]Substrate-Based Approach. Chem - A Eur J 25:2345–2351. https://doi.org/10.1002/chem.201805473

2018

Al-Olabi L, Polubothu S, Dowsett K, et al (2018) Mosaic RAS/MAPK variants cause sporadic vascular malformations which respond to targeted therapy. J Clin Invest 128:1496–1508. https://doi.org/10.1172/JCI98589

Bullock JMA, Sen N, Thalassinos K, Topf M (2018a) Modeling Protein Complexes Using Restraints from Crosslinking Mass Spectrometry. Structure 26:1015-1024.e2. https://doi.org/10.1016/j.str.2018.04.016

Bullock JMA, Thalassinos K, Topf M (2018b) Jwalk and MNXL web server: Model validation using restraints from crosslinking mass spectrometry. Bioinformatics 34:3584–3585. https://doi.org/10.1093/bioinformatics/bty366

Fedele L, Newcombe J, Topf M, et al (2018) Disease-associated missense mutations in GluN2B subunit alter NMDA receptor ligand binding and ion channel properties. Nat Commun 9:. https://doi.org/10.1038/s41467-018-02927-4

Fumagalli M, Camus SM, Diekmann Y, et al (2018) Genetic diversity of CHC22 clathrin impacts its function in glucose metabolism. bioRxiv 307264

McTague A, Nair U, Malhotra S, et al (2018) Clinical and molecular characterization of KCNT1-related severe early-onset epilepsy. Neurology 90:E55–E66. https://doi.org/10.1212/WNL.0000000000004762

Menny A, Serna M, Boyd CM, et al (2018) CryoEM reveals how the complement membrane attack complex ruptures lipid bilayers. bioRxiv

Newcombe J, Chatzidaki A, Sheppard TD, et al (2018) Diversity of nicotinic acetylcholine receptor positive allosteric modulators revealed by mutagenesis and a revised structural model. Mol Pharmacol 93:128–140. https://doi.org/10.1124/mol.117.110551

Tweedy JG, Escriva E, Topf M, Gompels UA (2018) Analyses of tissue culture adaptation of human herpesvirus-6a by whole genome deep sequencing redefines the reference sequence and identifies virus entry complex changes. Viruses. https://doi.org/10.3390/v10010016

Smelt CLC, Sanders VR, Newcombe J, et al (2018) Identification by virtual screening and functional characterisation of novel positive and negative allosteric modulators of the α7 nicotinic acetylcholine receptor. Neuropharmacology 139:194–204. https://doi.org/10.1016/j.neuropharm.2018.07.009

Pilorge M, Fassier C, Le Corronc H, et al (2016) Genetic and functional analyses demonstrate a role for abnormal glycinergic signaling in autism. Mol Psychiatry 21:936–945. https://doi.org/10.1038/mp.2015.139

2017

Atherton J, Jiang K, Stangier MM, et al (2017a) A structural model for microtubule minus-end recognition and protection by CAMSAP proteins. Nat Struct Mol Biol 24:931–943. https://doi.org/10.1038/nsmb.3483

Atherton J, Yu IM, Cook A, et al (2017b) The divergent mitotic kinesin MKLP2 exhibits atypical structure and mechanochemistry. Elife 6:. https://doi.org/10.7554/eLife.27793

Deville C, Carroni M, Franke KB, et al (2017) Structural pathway of regulated substrate transfer and threading through an Hsp100 disaggregase. Sci Adv 3:e1701726. https://doi.org/10.1126/sciadv.1701726

Joseph AP, Lagerstedt I, Patwardhan A, et al (2017a) Improved metrics for comparing structures of macromolecular assemblies determined by 3D electron-microscopy. J Struct Biol 199:12–26. https://doi.org/10.1016/j.jsb.2017.05.007

Joseph AP, Polles G, Alber F, Topf M (2017b) Integrative modelling of cellular assemblies. Curr. Opin. Struct. Biol. 46:102–109

Locke J, Joseph AP, Peña A, et al (2017) Structural basis of human kinesin-8 function and inhibition. Proc Natl Acad Sci U S A 114:E9539–E9548. https://doi.org/10.1073/pnas.1712169114

Meyer E, Carss KJ, Rankin J, et al (2017) Mutations in the histone methyltransferase gene KMT2B cause complex early-onset dystonia. Nat Genet 49:223–237. https://doi.org/10.1038/ng.3740

Schaefer N, Berger A, Van Brederode J, et al (2017) Disruption of a structurally important extracellular element in the glycine receptor leads to decreased synaptic integration and signaling resulting in severe startle disease. J Neurosci 37:7948–7961. https://doi.org/10.1523/JNEUROSCI.0009-17.2017

Wright ZVF, McCarthy S, Dickman R, et al (2017) The Role of Disulfide Bond Replacements in Analogues of the Tarantula Toxin ProTx-II and Their Effects on Inhibition of the Voltage-Gated Sodium Ion Channel Nav1.7. J Am Chem Soc 139:13063–13075. https://doi.org/10.1021/jacs.7b06506

2016

Ashford P, Hernandez A, Greco TM, et al (2016) HVint: A strategy for identifying novel protein-protein interactions in herpes simplex virus type 1. Mol Cell Proteomics 15:2939–2953. https://doi.org/10.1074/mcp.M116.058552

Bullock JMA, Schwab J, Thalassinos K, Topf M (2016) The importance of non-accessible crosslinks and solvent accessible surface distance in modeling proteins with restraints from crosslinking mass spectrometry. Mol Cell Proteomics 15:2491–2500. https://doi.org/10.1074/mcp.M116.058560

Joseph AP, Malhotra S, Burnley T, et al (2016) Refinement of atomic models in high resolution EM reconstructions using Flex-EM and local assessment. Methods 100:42–49. https://doi.org/10.1016/j.ymeth.2016.03.007

Kalscheuer VM, James VM, Himeiright ML, et al (2016) Novel missense mutation A789V in IQSEC2 underlies X-linked intellectual disability in the MRX78 family. Front Mol Neurosci 8:85. https://doi.org/10.3389/fnmol.2015.00085

Zeev-Ben-Mordehai T, Vasishtan D, Durán AH, et al (2016) Two distinct trimeric conformations of natively membrane-anchored full-length herpes simplex virus 1 glycoprotein B. Proc Natl Acad Sci U S A 113:4176–4181. https://doi.org/10.1073/pnas.1523234113

2015

Farabella I, Vasishtan D, Joseph AP, et al (2015) TEMPy: A Python library for assessment of three-dimensional electron microscopy density fits. J Appl Crystallogr 48:1314–1323. https://doi.org/10.1107/S1600576715010092

Wood C, Burnley T, Patwardhan A, et al (2015) Collaborative computational project for electron cryo-microscopy. Acta Crystallogr Sect D Biol Crystallogr 71:123–126. https://doi.org/10.1107/S1399004714018070

Stödberg T, McTague A, Ruiz AJ, et al (2015) Mutations in SLC12A5 in epilepsy of infancy with migrating focal seizures. Nat Commun 6:. https://doi.org/10.1038/ncomms9038

Pandurangan AP, Vasishtan D, Alber F, Topf M (2015) γ-TEMPy: Simultaneous Fitting of Components in 3D-EM Maps of Their Assembly Using a Genetic Algorithm. Structure 23:2365–2376. https://doi.org/10.1016/j.str.2015.10.013

Lukoyanova N, Kondos SC, Farabella I, et al (2015) Conformational Changes during Pore Formation by the Perforin-Related Protein Pleurotolysin. PLoS Biol 13:. https://doi.org/10.1371/journal.pbio.1002049

Sali A, Berman HM, Schwede T, et al (2015) Outcome of the First wwPDB Hybrid/Integrative Methods Task Force Workshop. In: Structure. Cell Press, pp 1156–1167

2014

Atherton J, Farabella I, Yu IM, et al (2014) Conserved mechanisms of microtubule-stimulated ADP release, ATP binding, and force generation in transport kinesins. Elife 3:e03680. https://doi.org/10.7554/eLife.03680

Leung C, Dudkina N V., Lukoyanova N, et al (2014) Stepwise visualization of membrane pore formation by suilysin, a bacterial cholesterol-dependent cytolysin. Elife 3:e04247. https://doi.org/10.7554/eLife.04247

Mortensen M, Iqbal F, Pandurangan AP, et al (2014) Photo-antagonism of the GABA A receptor. Nat Commun 5:. https://doi.org/10.1038/ncomms5454

Pandurangan AP, Shakeel S, Butcher SJ, Topf M (2014) Combined approaches to flexible fitting and assessment in virus capsids undergoing conformational change. J Struct Biol 185:427–439. https://doi.org/10.1016/j.jsb.2013.12.003

2013

Ganser LR, Yan Q, James VM, et al (2013) Distinct phenotypes in zebrafish models of human startle disease. Neurobiol Dis 60:139–151. https://doi.org/10.1016/j.nbd.2013.09.002

James VM, Bode A, Chung SK, et al (2013) Novel missense mutations in the glycine receptor β subunit gene (GLRB) in startle disease. Neurobiol Dis 52:137–149. https://doi.org/10.1016/j.nbd.2012.12.001

Maurer UE, Zeev-Ben-Mordehai T, Pandurangan AP, et al (2013) The structure of herpesvirus fusion glycoprotein B-bilayer complex reveals the protein-membrane and lateral protein-protein interaction. Structure 21:1396–1405. https://doi.org/10.1016/j.str.2013.05.018

Yuan S, Topf M, Reubold TF, et al (2013) Changes in apaf-1 conformation that drive apoptosome assembly. Biochemistry 52:2319–2327. https://doi.org/10.1021/bi301721g

Redzej A, Ilangovan A, Lang S, et al (2013) Structure of a translocation signal domain mediating conjugative transfer by type IV secretion systems. Mol Microbiol 89:324–333. https://doi.org/10.1111/mmi.12275

Thalassinos K, Pandurangan AP, Xu M, et al (2013) Conformational states of macromolecular assemblies explored by integrative structure calculation. Structure 21:1500–1508

2012

Carta E, Chung SK, James VM, et al (2012) Mutations in the GlyT2 gene (SLC6A5) are a second major cause of startle disease. J Biol Chem 287:28975–28985. https://doi.org/10.1074/jbc.M112.372094

Clare DK, Vasishtan D, Stagg S, et al (2012) ATP-triggered conformational changes delineate substrate-binding and -folding mechanics of the GroEL chaperonin. Cell 149:113–123. https://doi.org/10.1016/j.cell.2012.02.047

Gill JL, James VM, Carta E, et al (2012) Identification of congenital muscular dystonia 2 associated with an inherited GlyT2 defect in Belgian Blue cattle from the United Kingdom. Anim Genet 43:267–270. https://doi.org/10.1111/j.1365-2052.2011.02255.x

Giménez C, Pérez-Siles G, Martínez-Villarreal J, et al (2012) A novel dominant hyperekplexia mutation Y705C alters trafficking and biochemical properties of the presynaptic glycine transporter GlyT2. J Biol Chem 287:28986–29002. https://doi.org/10.1074/jbc.M111.319244

James VM, Gill JL, Topf M, Harvey RJ (2012) Molecular mechanisms of glycine transporter GlyT2 mutations in startle disease. In: Biological Chemistry. pp 283–289

Pandurangan AP, Topf M (2012a) RIBFIND: A web server for identifying rigid bodies in protein structures and to aid flexible fitting into cryo EM maps. Bioinformatics 28:2391–2393. https://doi.org/10.1093/bioinformatics/bts446

Pandurangan AP, Topf M (2012b) Finding rigid bodies in protein structures: Application to flexible fitting into cryoEM maps. J Struct Biol 177:520–531. https://doi.org/10.1016/j.jsb.2011.10.011

Seitsonen JJT, Shakeel S, Susi P, et al (2012) Structural Analysis of Coxsackievirus A7 Reveals Conformational Changes Associated with Uncoating. J Virol 86:7207–7215. https://doi.org/10.1128/jvi.06425-11

2011

Beck M, Topf M, Frazier Z, et al (2011) Exploring the spatial and temporal organization of a cell’s proteome. J Struct Biol 173:483–496. https://doi.org/10.1016/j.jsb.2010.11.011

Vasishtan D, Topf M (2011) Scoring functions for cryoEM density fitting. J Struct Biol 174:333–343. https://doi.org/10.1016/j.jsb.2011.01.012

Yuan S, Yu X, Topf M, et al (2011) Structure of the drosophila apoptosome at 6.9 Å resolution. Structure 19:128–140. https://doi.org/10.1016/j.str.2010.10.009

2010

Gartmann M, Blau M, Armache JP, et al (2010) Mechanism of eIF6-mediated inhibition of ribosomal subunit joining. J Biol Chem 285:14848–14851. https://doi.org/10.1074/jbc.C109.096057

Kumar RA, Pilz DT, Babatz TD, et al (2010) TUBA1A mutations cause wide spectrum lissencephaly (smooth brain) and suggest that multiple neuronal migration pathways converge on alpha tubulins. Hum Mol Genet 19:2817–2827. https://doi.org/10.1093/hmg/ddq182

Yuan S, Yu X, Topf M, et al (2010) Structure of an apoptosome-procaspase-9 CARD complex. Structure 18:571–583. https://doi.org/10.1016/j.str.2010.04.001

Zhang S, Vasishtan D, Xu M, et al (2010) A fast mathematical programming procedure for simultaneous fitting of assembly components into cryoEM density maps. Bioinformatics 26:i261–i268. https://doi.org/10.1093/bioinformatics/btq201

Malet H, Topf M, Clare DK, et al (2010) RNA channelling by the eukaryotic exosome. EMBO Rep 11:936–942. https://doi.org/10.1038/embor.2010.164

Rawi R, Whitmore L, Topf M (2010) CHOYCE: A web server for constrained homology modelling with cryoEM maps. Bioinformatics 26:1673–1674. https://doi.org/10.1093/bioinformatics/btq237

2009

Lasker K, Topf M, Sali A, Wolfson HJ (2009) Inferential Optimization for Simultaneous Fitting of Multiple Components into a CryoEM Map of Their Assembly. J Mol Biol 388:180–194. https://doi.org/10.1016/j.jmb.2009.02.031

Taylor DJ, Devkota B, Huang AD, et al (2009) Comprehensive Molecular Structure of the Eukaryotic Ribosome. Structure 17:1591–1604. https://doi.org/10.1016/j.str.2009.09.015

2008

Alber F, Förster F, Korkin D, et al (2008) Integrating diverse data for structure determination of macromolecular assemblies. Annu. Rev. Biochem. 77:443–477

Booth CR, Meyer AS, Cong Y, et al (2008) Mechanism of lid closure in the eukaryotic chaperonin TRiC/CCT. Nat Struct Mol Biol 15:746–753. https://doi.org/10.1038/nsmb.1436

Chandramouli P, Topf M, Ménétret JF, et al (2008) Structure of the Mammalian 80S Ribosome at 8.7 Å Resolution. Structure 16:535–548. https://doi.org/10.1016/j.str.2008.01.007

Cong Y, Topf M, Sali A, et al (2008) Crystallographic Conformers of Actin in a Biologically Active Bundle of Filaments. J Mol Biol 375:331–336. https://doi.org/10.1016/j.jmb.2007.10.027

Connell SR, Topf M, Qin Y, et al (2008) A new tRNA intermediate revealed on the ribosome during EF4-mediated back-translocation. Nat Struct Mol Biol 15:910–915. https://doi.org/10.1038/nsmb.1469

Harvey RJ, Topf M, Harvey K, Rees MI (2008) The genetics of hyperekplexia: more than startle! Trends Genet. 24:439–447

Miller PS, Topf M, Smart TG (2008) Mapping a molecular link between allosteric inhibition and activation of the glycine receptor. Nat Struct Mol Biol 15:1084–1093. https://doi.org/10.1038/nsmb.1492

Serysheva II, Ludtke SJ, Baker ML, et al (2008) Subnanometer-resolution electron cryomicroscopy-based domain models for the cytoplasmic region of skeletal muscle RyR channel. Proc Natl Acad Sci U S A 105:9610–9615. https://doi.org/10.1073/pnas.0803189105

Topf M, Lasker K, Webb B, et al (2008) Protein Structure Fitting and Refinement Guided by Cryo-EM Density. Structure 16:295–307. https://doi.org/10.1016/j.str.2007.11.016

2006

Topf M, Baker ML, Marti-Renom MA, et al (2006) Refinement of protein structures by iterative comparative modeling and cryoEM density fitting. J Mol Biol 357:1655–1668. https://doi.org/10.1016/j.jmb.2006.01.062

2005

Topf M, Baker ML, John B, et al (2005) Structural characterization of components of protein assemblies by comparative modeling and electron cryo-microscopy. J Struct Biol 149:191–203. https://doi.org/10.1016/j.jsb.2004.11.004

Topf M, Sali A (2005) Combining electron microscopy and comparative protein structure modeling. Curr. Opin. Struct. Biol. 15:578–585

2004

Topf M, Richards WG (2004) Theoretical studies on the deacylation step of serine protease catalysis in the gas phase, in solution, and in elastase. J Am Chem Soc 126:14631–14641. https://doi.org/10.1021/ja047010a

Topf M, Sandala GM, Smith DM, et al (2004) The unusual bifunctional catalysis of epimerization and desaturation by carbapenem synthase. J Am Chem Soc 126:9932–9933. https://doi.org/10.1021/ja047899v

Russell RB, Alber F, Aloy P, et al (2004) A structural perspective on protein-protein interactions. Curr. Opin. Struct. Biol. 14:313–324

Shacham S, Marantz Y, Bar-Haim S, et al (2004) PREDICT modeling and in-silico screening for G-protein coupled receptors. Proteins Struct Funct Genet 57:51–86. https://doi.org/10.1002/prot.20195

2003

Clifton IJ, Doan LX, Sleeman MC, et al (2003) Crystal structure of carbapenem synthase (CarC). J Biol Chem 278:20843–20850. https://doi.org/10.1074/jbc.M213054200

2002

Topf M, Várnai P, Richards WG (2002a) Ab initio QM/MM dynamics simulation of the tetrahedral intermediate of serine proteases: Insights into the active site hydrogen-bonding network. J Am Chem Soc 124:14780–14788. https://doi.org/10.1021/ja026219q

Topf M, Várnai P, Schofield CJ, Richards WG (2002b) Molecular dynamics simulations of the acyl-enzyme and the tetrahedral intermediate in the deacylation step of serine proteases. Proteins Struct Funct Genet 47:357–369. https://doi.org/10.1002/prot.10097

2001

Shacham S, Topf M, Avisar N, et al (2001) Modeling the 3D structure of GPCRs from sequence. Med Res Rev 21:472–483. https://doi.org/10.1002/med.1019

Topf M, Várnai P, Richards WG (2001) Quantum mechanical/molecular mechanical study of three stationary points along the deacylation step of the catalytic mechanism of elastase. Theor Chem Acc 106:146–151. https://doi.org/10.1007/s002140000246