Bibliography

Major publications by the team in recent years

• 1S. Z. Alborzi, M.-D. Devignes, D. W. Ritchie.
  
  ECDomainMiner: discovering hidden associations between enzyme commission numbers and Pfam domains, in: BMC Bioinformatics, December 2017, vol. 18, n^o 1, 107 p. [ DOI : 10.1186/s12859-017-1519-x ]
  
  https://hal.inria.fr/hal-01466842
• 2A. W. Ghoorah, M.-D. Devignes, M. Smaïl-Tabbone, D. Ritchie.
  
  Spatial clustering of protein binding sites for template based protein docking, in: Bioinformatics, August 2011, vol. 27, n^o 20, pp. 2820-2827. [ DOI : 10.1093/bioinformatics/btr493 ]
  
  https://hal.inria.fr/inria-00617921
• 3A. W. Ghoorah, M.-D. Devignes, M. Smaïl-Tabbone, D. Ritchie.
  
  Protein Docking Using Case-Based Reasoning, in: Proteins, October 2013, vol. 81, n^o 12, pp. 2150-2158. [ DOI : 10.1002/prot.24433 ]
  
  https://hal.inria.fr/hal-00880341
• 4A. W. Ghoorah, M.-D. Devignes, M. Smaïl-Tabbone, D. Ritchie.
  
  KBDOCK 2013: A spatial classification of 3D protein domain family interactions, in: Nucleic Acids Research, January 2014, vol. 42, n^o D1, pp. 389-395.
  
  https://hal.inria.fr/hal-00920612
• 5T. V. Hoang, X. Cavin, D. Ritchie.
  
  gEMfitter: A highly parallel FFT-based 3D density fitting tool with GPU texture memory acceleration, in: Journal of Structural Biology, September 2013. [ DOI : 10.1016/j.jsb.2013.09.010 ]
  
  https://hal.inria.fr/hal-00866871
• 6G. Macindoe, L. Mavridis, V. Venkatraman, M.-D. Devignes, D. Ritchie.
  
  HexServer: an FFT-based protein docking server powered by graphics processors, in: Nucleic Acids Research, May 2010, vol. 38, pp. W445-W449. [ DOI : 10.1093/nar/gkq311 ]
  
  https://hal.inria.fr/inria-00522712
• 7V. Pérez-Nueno, A. S. Karaboga, M. Souchet, D. Ritchie.
  
  GESSE: Predicting Drug Side Effects from Drug–Target Relationships, in: Journal of Chemical Information and Modeling, August 2015, vol. 55, n^o 9, pp. 1804-1823. [ DOI : 10.1021/acs.jcim.5b00120 ]
  
  https://hal.inria.fr/hal-01216493
• 8D. W. Ritchie, S. Grudinin.
  
  Spherical polar Fourier assembly of protein complexes with arbitrary point group symmetry, in: Journal of Applied Crystallography, February 2016, vol. 49, n^o 1, pp. 158-167. [ DOI : 10.1107/S1600576715022931 ]
  
  https://hal.inria.fr/hal-01261402
• 9D. Ritchie.
  
  Calculating and scoring high quality multiple flexible protein structure alignments, in: Bioinformatics, May 2016, vol. 32, n^o 17, pp. 2650-2658. [ DOI : 10.1093/bioinformatics/btw300 ]
  
  https://hal.inria.fr/hal-01371083
• 10D. W. Ritchie, V. Venkatraman.
  
  Ultra-fast FFT protein docking on graphics processors, in: Bioinformatics, August 2010, vol. 26, n^o 19, pp. 2398-2405. [ DOI : 10.1093/bioinformatics/btq444 ]
  
  https://hal.inria.fr/inria-00537988

Publications of the year

Doctoral Dissertations and Habilitation Theses

• 11S. Z. Alborzi.
  
  Automatic Discovery of Hidden Associations Using Vector Similarity : Application to Biological Annotation Prediction, Université de Lorraine, February 2018.
  
  https://tel.archives-ouvertes.fr/tel-01792299
• 12G. Personeni.
  
  Contribution of domain ontologies for knowledge discovery in biomedical data, Université de Lorraine, November 2018.
  
  https://hal.inria.fr/tel-01925461

Articles in International Peer-Reviewed Journals

• 13S. Z. Alborzi, D. Ritchie, M.-D. Devignes.
  
  Computational Discovery of Direct Associations between GO terms and Protein Domains, in: BMC Bioinformatics, November 2018, vol. 19, n^o Suppl 14, 413 p. [ DOI : 10.1186/s12859-018-2380-2 ]
  
  https://hal.inria.fr/hal-01777508
• 14I. R. G. Caposi, D. R. Faria, K. M. Seiketa, F. Rodrigues, P. Bomfim-Mendonça, T. Becker, E. S. Kioshima, T. Svidzinski, B. Maigret.
  
  Repurposing Approach Identifies New Treatment Options for Invasive Fungal Disease, in: Bioorganic Chemistry, 2018. [ DOI : 10.1016/j.bioorg.2018.11.019 ]
  
  https://hal.inria.fr/hal-01927136
• 15S. Dey, D. Ritchie, E. D. Levy.
  
  PDB-wide identification of biological assemblies from conserved quaternary structure geometry, in: Nature Methods, 2018, vol. 15, pp. 67-72. [ DOI : 10.1038/nmeth.4510 ]
  
  https://hal.inria.fr/hal-01652359
• 16K. Ghania, B. Messabih, A. Chouarfia, B. Maigret.
  
  Flexible molecular docking: application of hybrid tabu-simplex optimisation, in: International journal of computational biology and drug design, 2018.
  
  https://hal.inria.fr/hal-01927105
• 17W. Inoubli, S. Aridhi, H. Mezni, M. Maddouri, E. Mephu Nguifo.
  
  An experimental survey on big data frameworks, in: Future Generation Computer Systems, September 2018, vol. 86, pp. 546 - 564. [ DOI : 10.1016/j.future.2018.04.032 ]
  
  https://hal.inria.fr/hal-01926259
• 18C. Krieger, S. Roselli, S. Kellner-Thielmann, G. Galati, B. Schneider, J. Grosjean, A. Olry, D. Ritchie, U. Matern, F. Bourgaud, A. Hehn.
  
  The CYP71AZ P450 Subfamily: A Driving Factor for the Diversification of Coumarin Biosynthesis in Apiaceous Plants, in: Frontiers in Plant Science, June 2018, vol. 9. [ DOI : 10.3389/fpls.2018.00820 ]
  
  https://hal.archives-ouvertes.fr/hal-01899038
• 19H. Mezni, S. Aridhi, A. Hadjali.
  
  The uncertain cloud: State of the art and research challenges, in: International Journal of Approximate Reasoning, December 2018, vol. 103, pp. 139 - 151. [ DOI : 10.1016/j.ijar.2018.09.009 ]
  
  https://hal.inria.fr/hal-01926257

International Conferences with Proceedings

• 20K. Dalleau, M. Couceiro, M. Smaïl-Tabbone.
  
  Unsupervised extremely randomized trees, in: PAKDD 2018 - The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining, Melbourne, Australia, May 2018.
  
  https://hal.inria.fr/hal-01667317
• 21M.-D. Devignes, Y. Fransot, Y. Lepage, J. Lieber, E. Nauer, M. Smaïl-Tabbone.
  
  First steps toward finding relevant pathology-gene pairs using analogy, in: EvoCBR 2018 : Workshop on Evolutionary Computation and CBR at the International Conference on Case-Based Reasoning (ICCBR 2018), Stockholm, Sweden, July 2018.
  
  https://hal.inria.fr/hal-01906547
• 22W. Inoubli, S. Aridhi, H. Mezni, M. Maddouri, E. M. Nguifo.
  
  A Comparative Study on Streaming Frameworks for Big Data, in: VLDB 2018 - 44th International Conference on Very Large Data Bases : Workshop LADaS - Latin American Data Science, Rio de Janeiro, Brazil, August 2018, pp. 1-8.
  
  https://hal.inria.fr/hal-01835437
• 23G. Personeni, M.-D. Devignes, M. Smaïl-Tabbone, P. Jonveaux, C. Bonnet, A. Coulet.
  
  Cooperation of bio-ontologies for the classification of genetic intellectual disabilities : a diseasome approach, in: Proceedings of the 11th International Conference on Semantic Web Applications and Tools for Healthcare and Life Sciences (SWAT4HCLS 2018), Antwerp, Belgium, December 2018.
  
  https://hal.inria.fr/hal-01925471
• 24B. Sarker, D. W. Ritchie, S. Aridhi.
  
  Exploiting Complex Protein Domain Networks for Protein Function Annotation, in: Complex Networks 2018 - 7th International Conference on Complex Networks and Their Applications, Cambridge, United Kingdom, December 2018.
  
  https://hal.inria.fr/hal-01920595

National Conferences with Proceedings

• 25M. Zoghlami, S. Aridhi, M. Maddouri, E. M. Nguifo.
  
  ABClass : Une approche d'apprentissage multi-instances pour les séquences, in: RJCIA 2018 - 16èmes Rencontres des Jeunes Chercheurs en Intelligence Artificielle, Nancy, France, July 2018, pp. 1-9.
  
  https://hal.inria.fr/hal-01835432

Scientific Books (or Scientific Book chapters)

• 26M. Zoghlami, S. Aridhi, M. Maddouri, E. Mephu Nguifo.
  
  An Overview of in Silico Methods for the Prediction of Ionizing Radiation Resistance in Bacteria, in: Ionizing Radiation: Advances in Research and Applications, T. Reeve (editor), Physics Research and Technology Series, Nova science publishers, May 2018, pp. 241-256.
  
  https://hal.inria.fr/hal-01807944

Other Publications

• 27S. Z. Alborzi, S. Aridhi, D. Ritchie, M.-D. Devignes.
  
  PPI DomainMiner: predicting domain-domain interactions from protein-protein interactions using tripartite graph modeling and vector similarity, September 2018, ECCB 2018 - 17th European Conference on Computational Biology, Poster.
  
  https://hal.inria.fr/hal-01877112
• 28E. Bresso, C. Lacomblez, A. Pizard, P. Rossignol, F. Zannad, M. Smaïl-Tabbone, M.-D. Devignes.
  
  A data science approach for exploring differential expression profiles of genes in transcriptomic studies-Application to the understanding of ageing in obese and lean rats in the FIGHT-HF project, July 2018, JOBIM 2018 - Journées Ouvertes Biologie, Informatique et Mathématiques, Poster.
  
  https://hal.inria.fr/hal-01928421
• 29I. Chauvot de Beauchêne, S. J. De Vries.
  
  Reactive pipelines for integrated structural bioinformatics resources, October 2018, 3D-BioInfo: Launch Meeting for a proposed ELIXIR Community in Structural Bioinformatics, Poster.
  
  https://hal.inria.fr/hal-01925064
• 30D. Ritchie.
  
  Whole Number Recursion Formulae for High Order Clebsch-Gordan Coupling Coefficients, July 2018, working paper or preprint.
  
  https://hal.inria.fr/hal-01851097
• 31M. E. Ruiz­ Echartea, I. Chauvot de Beauchêne, D. Ritchie.
  
  EROS: A Protein Docking Algorithm Using a Quaternion Pi-Ball Representation for Exhaustive and Accelerated Exploration of 3D Rotational Space, November 2018, APIL 2018 - Journée d'automne de l'Ecole Doctorale IAEM-Lorraine, Poster.
  
  https://hal.inria.fr/hal-01929546
• 32B. Sarker, D. Ritchie, S. Aridhi.
  
  GrAPFI: Graph Based Inference for Automatic Protein Function Annotation, September 2018, ECCB 2018 - 17th European Conference on Computational Biology, Poster.
  
  https://hal.inria.fr/hal-01876907
• 33C. Singhal, Y. Ponty, I. Chauvot de Beauchêne.
  
  A hybrid combinatorial method for docking single stranded RNA on proteins at the thermodynamic equilibrium, April 2018, RECOMB 2018 - 22nd Annual International Conference on Research in Computational Molecular Biology, Poster.
  
  https://hal.inria.fr/hal-01925083

References in notes

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  Automatic Generation of Functional Annotation Rules Using Inferred GO-Domain Associations, in: Function-SIG ISMB/ECCB 2017, Prague, Czech Republic, biofunctionprediction.org, July 2017.
  
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• 35S. Z. Alborzi, M.-D. Devignes, S. Aridhi, R. Saidi, A. Renaux, M. J. Martin, D. W. Ritchie.
  
  Automatic Generation of Functional Annotation Rules Using Inferred GO-Domain Associations, July 2017, Function-SIG ISMB/ECCB 2017, Poster.
  
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• 36S. Z. Alborzi, M.-D. Devignes, D. Ritchie.
  
  Associating Gene Ontology Terms with Pfam Protein Domains, in: 5th International Work-Conference on Bioinformatics and Biomedical Engineering - IWBBIO 2017, Granada, Spain, I. Rojas, F. Ortuño (editors), Bioinformatics and Biomedical Engineering, Springer, April 2017, vol. 10209, pp. 127-138. [ DOI : 10.1007/978-3-319-56154-7_13 ]
  
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• 37C. E. Alvarez-Martinez, P. J. Christie.
  
  Biological diversity of prokaryotic type IV secretion systems, in: Microbiology and Molecular Biology Reviews, 2011, vol. 73, pp. 775–808.
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  BLADYG: A Graph Processing Framework for Large Dynamic Graphs, in: Big Data Research, 2017. [ DOI : 10.1016/j.bdr.2017.05.003 ]
  
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• 43E. Bresso, V. Leroux, M. Urban, K. Hammond-Kosack, B. Maigret, N. F. Martins.
  
  Structure-based virtual screening of hypothetical inhibitors of the enzyme longiborneol synthase-a potential target to reduce Fusarium head blight disease, in: Journal of Molecular Modeling, July 2016, vol. 22, n^o 7. [ DOI : 10.1007/s00894-016-3021-1 ]
  
  https://hal.inria.fr/hal-01392851
• 44I. Chauvot de Beauchêne, S. J. De Vries, M. Zacharias.
  
  Fragment-based modelling of single stranded RNA bound to RNA recognition motif containing proteins, in: Nucleic Acids Research, June 2016. [ DOI : 10.1093/nar/gkw328 ]
  
  https://hal.archives-ouvertes.fr/hal-01505862
• 45I. Chauvot de Beauchêne, S. J. De Vries, M. J. Zacharias.
  
  Fragment-based modeling of protein-bound ssRNA, September 2016, ECCB 2016: The 15th European Conference on Computational Biology, Poster.
  
  https://hal.archives-ouvertes.fr/hal-01573352
• 46C. Coluzzi, G. Guédon, M.-D. Devignes, C. Ambroset, V. Loux, S. Payot, N. N. Leblond-Bourget, T. Lacroix.
  
  A Glimpse into the World of Integrative and Mobilizable Elements in Streptococci Reveals an Unexpected Diversity and Novel Families of Mobilization Proteins, in: Frontiers in Microbiology, March 2017, vol. 8, 16 p. [ DOI : 10.3389/fmicb.2017.00443 ]
  
  https://hal.inria.fr/hal-01580789
• 47P. Couvineau, H. de Almeida, B. Maigret, C. Llorens-Cortes, X. Iturrioz.
  
  Involvement of arginine 878 together with Ca2+ in aminopeptidase A substrate specificity for N-terminal acidic amino-acid residues, in: PLoS One, September 2017.
  
  https://hal.inria.fr/hal-01580832
• 48K. Dalleau, M. Couceiro, M.-D. Devignes, C. Raïssi, M. Smaïl-Tabbone.
  
  Using aggregation functions on structured data: a use case in the FIGHT-HF project, in: International Symposium on Aggregation and Structures (ISAS 2016) , Luxembourg, Luxembourg, G. Kiss, J.-L. Marichal, B. Teheux (editors), International Symposium on Aggregation and Structures (ISAS 2016) - Book of abstracts, July 2016.
  
  https://hal.inria.fr/hal-01399232
• 49S. J. De Vries, I. Chauvot de Beauchêne, C. E. M. Schindler, M. Zacharias.
  
  Cryo-EM Data Are Superior to Contact and Interface Information in Integrative Modeling, in: Biophysical Journal, February 2016. [ DOI : 10.1016/j.bpj.2015.12.038 ]
  
  https://hal.archives-ouvertes.fr/hal-01505863
• 50M.-D. Devignes, B. Sidahmed, M. Smaïl-Tabbone, N. Amedeo, P. Olivier.
  
  Functional classification of genes using semantic distance and fuzzy clustering approach: Evaluation with reference sets and overlap analysis, in: international Journal of Computational Biology and Drug Design. Special Issue on: ”Systems Biology Approaches in Biological and Biomedical Research”, 2012, vol. 5, n^o 3/4, pp. 245-260.
  
  https://hal.inria.fr/hal-00734329
• 51W. Dhifli, S. Aridhi, E. Mephu Nguifo.
  
  MR-SimLab: Scalable subgraph selection with label similarity for big data, in: Information Systems, 2017, vol. 69, pp. 155 - 163. [ DOI : 10.1016/j.is.2017.05.006 ]
  
  https://hal.inria.fr/hal-01573398
• 52S. E. Dobbins, V. I. Lesk, M. J. E. Sternberg.
  
  Insights into protein flexibility: The relationship between normal modes and conformational change upon protein–protein docking, in: Proceedings of National Academiy of Sciences, 2008, vol. 105, n^o 30, pp. 10390–10395.
• 53M. El Houasli, B. Maigret, M.-D. Devignes, A. W. Ghoorah, S. Grudinin, D. Ritchie.
  
  Modeling and minimizing CAPRI round 30 symmetrical protein complexes from CASP-11 structural models, in: Proteins: Structure, Function, and Genetics, March 2017, vol. 85, n^o 3, pp. 463–469. [ DOI : 10.1002/prot.25182 ]
  
  https://hal.inria.fr/hal-01388654
• 54R. D. Finn, J. Mistry, J. Tate, P. Coggill, A. Heger, J. E. Pollington, O. L. Gavin, P. Gunasekaran, G. Ceric, K. Forslund, L. Holm, E. L. L. Sonnhammer, S. R. Eddy, A. Bateman.
  
  The Pfam protein families database, in: Nucleic Acids Research, 2010, vol. 38, pp. D211–D222.
• 55W. J. Frawley, G. Piatetsky-Shapiro, C. J. Matheus.
  
  Knowledge Discovery in Databases: An Overview, in: AI Magazine, 1992, vol. 13, pp. 57–70.
• 56R. Fronzes, E. Schäfer, L. Wang, H. R. Saibil, E. V. Orlova, G. Waksman.
  
  Structure of a type IV secretion system core complex, in: Science, 2011, vol. 323, pp. 266–268.
• 57R. A. Goldstein.
  
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  The HUPO PSI's Molecular Interaction format – a community standard for the representation of protein interaction data, in: Nature Biotechnology, 2004, vol. 22, n^o 2, pp. 177-183.
• 59H. I. Ingólfsson, C. A. Lopez, J. J. Uusitalo, D. H. de jong, S. M. Gopal, X. Periole, S. R. Marrink.
  
  The power of coarse graining in biomolecular simulations, in: WIRES Comput. Mol. Sci., 2013, vol. 4, pp. 225–248.
  
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• 60J. D. Jackson.
  
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• 61P. J. Kundrotas, Z. W. Zhu, I. A. Vakser.
  
  GWIDD: Genome-wide protein docking database, in: Nucleic Acids Research, 2010, vol. 38, pp. D513–D517.
• 62M. F. Lensink, S. J. Wodak.
  
  Docking and scoring protein interactions: CAPRI 2009, in: Proteins, 2010, vol. 78, pp. 3073–3084.
• 63N. F. Martins, E. Bresso, R. C. Togawa, M. Urban, J. Antoniw, B. Maigret, K. Hammond-Kosack.
  
  Searching for Novel Targets to Control Wheat Head Blight Disease-I-Protein Identification, 3D Modeling and Virtual Screening, in: Advances in Microbiology, September 2016, vol. 06, n^o 11, pp. 811 - 830. [ DOI : 10.4236/aim.2016.611079 ]
  
  https://hal.inria.fr/hal-01392860
• 64L. Mavridis, V. Venkatraman, D. W. Ritchie.
  
  A Comprehensive Comparison of Protein Structural Alignment Algorithms, in: 3DSIG – 8th Structural Bioinformatics and Computational Biophysics Meeting, Long Beach, California, ISMB, 2012, vol. 8, 89 p.
• 65A. May, M. Zacharias.
  
  Energy minimization in low-frequency normal modes to efficiently allow for global flexibility during systematic protein-protein docking, in: Proteins, 2008, vol. 70, pp. 794–809.
• 66I. H. Moal, P. A. Bates.
  
  SwarmDock and the Use of Normal Modes in Protein-Protein Docking, in: International Journal of Molecular Sciences, 2010, vol. 11, n^o 10, pp. 3623–3648.
• 67C. Morris.
  
  Towards a structural biology work bench, in: Acta Crystallographica, 2013, vol. PD69, pp. 681–682.
• 68D. Mustard, D. Ritchie.
  
  Docking essential dynamics eigenstructures, in: Proteins: Structure, Function, and Genetics, 2005, vol. 60, pp. 269-274. [ DOI : 10.1002/prot.20569 ]
  
  https://hal.inria.fr/inria-00434271
• 69S. Orchard, S. Kerrien, S. Abbani, B. Aranda, J. Bhate, S. Bidwell, A. Bridge, L. Briganti, F. S. L. Brinkman, G. Cesareni, A. Chatraryamontri, E. Chautard, C. Chen, M. Dumousseau, J. Goll, R. E. W. Hancock, L. I. Hannick, I. Jurisica, J. Khadake, D. J. Lynn, U. Mahadevan, L. Perfetto, A. Raghunath, S. Ricard-Blum, B. Roechert, L. Salwinski, V. Stümpflen, M. Tyers, P. Uetz, I. Xenarios, H. Hermjakob.
  
  Protein interaction data curation: the International Molecular Exchange (IMEx) consortium, in: Nature Methods, 2012, vol. 9, n^o 4, pp. 345-350.
• 70G. Personeni, E. Bresso, M.-D. Devignes, M. Dumontier, M. Smaïl-Tabbone, A. Coulet.
  
  Discovering associations between adverse drug events using pattern structures and ontologies, in: Journal of Biomedical Semantics, 2017, vol. 93, pp. 539 - 546. [ DOI : 10.1038/clpt.2013.24 ]
  
  https://hal.inria.fr/hal-01576341
• 71G. Personeni, S. Daget, C. Bonnet, P. Jonveaux, M.-D. Devignes, M. Smaïl-Tabbone, A. Coulet.
  
  ILP for Mining Linked Open Data: a biomedical Case Study, in: The 24th International Conference on Inductive Logic Programming (ILP 2014), Nancy, France, September 2014.
  
  https://hal.inria.fr/hal-01095597
• 72G. Personeni, S. Daget, C. Bonnet, P. Jonveaux, M.-D. Devignes, M. Smaïl-Tabbone, A. Coulet.
  
  Mining Linked Open Data: A Case Study with Genes Responsible for Intellectual Disability, in: Data Integration in the Life Sciences - 10th International Conference, DILS 2014, Lisbon, Portugal, H. Galhardas, E. Rahm (editors), Lecture Notes in Computer Science, Springer, 2014, vol. 8574, pp. 16 - 31.
  
  https://hal.inria.fr/hal-01095591
• 73G. Personeni, M.-D. Devignes, M. Dumontier, M. Smaïl-Tabbone, A. Coulet.
  
  Discovering ADE associations from EHRs using pattern structures and ontologies, in: Phenotype Day, Bio-Ontologies SIG, ISMB, Orlando, United States, July 2016.
  
  https://hal.inria.fr/hal-01369448
• 74G. Personeni, M.-D. Devignes, M. Dumontier, M. Smaïl-Tabbone, A. Coulet.
  
  Extraction d'association d'EIM à partir de dossiers patients : expérimentation avec les structures de patrons et les ontologies, in: Deuxième Atelier sur l'Intelligence Artificielle et la Santé, Montpellier, France, Atelier IA & Santé, June 2016.
  
  https://hal.inria.fr/hal-01391172
• 75B. Pierce, W. Tong, Z. Weng.
  
  M-ZDOCK: A Grid-Based Approach for $C_n$ Symmetric Multimer Docking, in: Bioinformatics, 2005, vol. 21, n^o 8, pp. 1472–1478.
• 76D. Ritchie, A. Ghoorah, L. Mavridis, V. Venkatraman.
  
  Fast Protein Structure Alignment using Gaussian Overlap Scoring of Backbone Peptide Fragment Similarity, in: Bioinformatics, October 2012, vol. 28, n^o 24, pp. 3274-3281. [ DOI : 10.1093/bioinformatics/bts618 ]
  
  https://hal.inria.fr/hal-00756813
• 77D. Ritchie, G. J. Kemp.
  
  Protein docking using spherical polar Fourier correlations, in: Proteins: Structure, Function, and Genetics, 2000, vol. 39, pp. 178-194.
  
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