Publications

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2021 • 2020 • 2019 • 2018 • 2017 • 2016 • 2015 • 2014 • 2013 • 2012 • 2011 • 2010 • 2009 • 2008 • 2007 • 2006 • 2005 • 2004 • 2003 • 2002 •

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2021

  • F. Afrasiabi, R. Dehghanpoor and N. Haspel. Integrating rigidity analysis into the exploration of protein conformational pathways using RRT* and MC. MDPI Molecules, 26(8), pages 2329 2021. BibTeX
  • K.L. Campbell, N. Haspel, C. Gath, N. Kurniatash, I. (Nouduri) Akkiraju, N. Stuffers and U. Vadher. Protein hormone fragmentation in intercellular signaling: hormones as nested information systems. Biology of Reproduction, 104(4), pages 887-901, 2021. BibTeX
  • N. Haspel, H. Jang, and R. Nussinov. Active and inactive cdc42 differ in their insert region conformational dynamics. Biophysical Journal, 120(2), pages 306--318, 2021. BibTeX
  • M. Jilani and N. Haspel. Computational methods for detecting large-scale structural rearrangements in chromosomes. Bioinformatics, Exon publications, chapter 3, pages 323--352, 2021. BibTeX

2020

  • A. Vajdi, K. Zarrinhalam and N. Haspel. Machine Learning Approaches for Predicting Protein Structure Similarity Bioinformatics, 36(5), pages 1460--1467, doi=10.1093/bioinformatics/btz791. 2020. BibTeX
  • A. Joshi and N. Haspel. A Novel Data Instance Reduction Technique using Linear Feature Reduction. Journal of Artificial Intelligence and Systems, 2(1), pages 191-206, 2020. BibTeX
  • F. Afrasiabi and N. Haspel. Efficient Exploration of Protein Conformational Pathways using RRT* and MC, proc. of ACM-BCB (in CSBW 2020 workshop), article 107, pages 1-6, 2020. BibTeX
  • H. Mohebbi, J. Quach, D. Simovici and N. Haspel. Fusion Transcript Detection from RNA-Seq using Jaccard Distance. proc. of ACM-BCB (in HPC-BOD workshop), article 107, pages 1-6, 2020. BibTeX

2019

  • A. Joshi and N. Haspel. Clustering of Protein Conformations Using Parallelized Dimensionality Reduction Journal of Advances in Information Technology (JAIT), 10(4), pages 142-147 2019. BibTeX
  • A. Vajdi, A. Joshi and N. Haspel. Integrating Co-Evolutionary Information in Monte Carlo Based Method for Proteins Trajectory Simulation. Proceedings of ACM-BCB 2019 (In CSBW), Niagara Falls, NY, USA, September. 2019. BibTeX

2018

  • R. Dehghanpoor, E. Ricks, K. Hursh, S. Gunderson, R. Farhoodi, N. Haspel, B. Hutchinson and F. Jagodzinski. Machine Learning Approaches for Predicting Protein Structure Similarity Molecules, 23(2), page 251 2018. BibTeX

2017

  • D. Luo, E. Gonzalez and N. Haspel. Detecting Intermediate Protein Conformations Using Algebraic Topology BMC Bioinformatics, 18(Suppl 15), pages 502 2017. BibTeX
  • B. Levy, S. Gable, E. Tsoy, N. Haspel, B. Wadler, R. Wilcox, C. Hess, J. Hogan, D. Driscoll and A. Hashmi. Machine Learning Detection of Cognitive Impairment in Primary Care Alzheimers Disease \& Dementia, 1(2), pages 38-46 2017. BibTeX
  • R. Farhoodi, B. Akbal-Delibas and N. Haspel. Machine Learning Approaches for Predicting Protein Structure Similarity Journal of Computational Biology, 24(1), pages 40-51 2017. BibTeX
  • R. Farhoodi, M. Shelbourne, R. Hsieh, N. Haspel, B. Hutchinson and F. Jagodzinski. Predicting the Effect of Point Mutations on Protein Structural Stability. proc. of ACM-BCB (International Conference on Bioinformatics, Computational Biology and Health Informatics), pages 247-252 2017. BibTeX
  • R. Farhoodi, B. Akbal-Delibas N. Haspel. Ranking Protein-Protein Binding Using Evolutionary Information, CSBW, in proc. of ACM-BCB (International Conference on Bioinformatics, Computational Biology and Health Informatics), pages 667-672 2017. BibTeX
  • H. Mohebbi, A. Vajdi, N. Haspel and D. Simovici. Detecting Chromosomal Structural Variation using Jaccard Distance and Parallel Architecture proc. of IEEE-BIBM (in HIBB 2017 workshop) , 2017. BibTeX
  • N. Haspel and F. Jagodzinski. Methods for Detecting Critical Residues in Proteins In In Vitro Mutagenesis, pages 227--242. Editor: A. Reeves, Publisher: Springer, NY, USA, 2017. BibTeX
  • N. Haspel, J. Zheng, D. Zanuy, C. Aleman and R. Nussinov. A protocol for the design of protein and peptide nanostructure self- assemblies exploiting synthetic amino acids. In Methods Mol. Biol., volume 1529 (on Computational Drug Design), pages 323-352. Editor: I. Samish, Publisher: Springer, NY, USA, 2017. BibTeX

2016

  • E. Andersson, R. Hsieh, H. Szeto, R. Farhoodi, F. Jagodzinski and N. Haspel. Assessing how multiple mutations affect protein stability using rigid cluster size distributions. In proc. of IEEE-ICCABS (International Conference on Computational Advances in Bio and Medical Sciences), Atlanta, GA, October 13-15, 2016. BibTeX
  • A. Vajdi and N. Haspel. Clustering Protein Conformations Using a Dynamic Programming Based Similarity Measurement Proc. of BICoB (8th international conference on bioinformatics and computational biology), Las Vegas, NV, March, 2016. BibTeX
  • B. Akbal-Delibas, R. Farhoodi, M. Pomplun and N. Haspel. Accurate refinement of docked protein complexes using evolutionary information and deep learning. J. Bioinf. Comp. Biol., 14(3):1642002, 2016. BibTeX
  • N. Haspel and F. Jagodzinski, Methods for detecting critical residues in proteins. In Methods Mol. Biol., volume on In Vitro Mutagenesis, pages 227-242. Editor: A. Reeves, Publisher: Springer, NY, USA, 2016. BibTeX

2015

  • B. Akbal-Delibas, M. Pomplun and N. Haspel. Accurate prediction of docked protein structure similarity. J. Comp. Biol., 22(9):892-904, 2015. BibTeX
  • B. Akbal-Delibas, M. Pomplun and N. Haspel. AccuRefiner: A Machine Learning Guided Refinement Method for Protein-Protein Docking Proc. of BICoB (7th international conference on bioinformatics and computational biology), Honolulu, HI, March 5-7, 2015. BibTeX
  • A. Vajdi, H. Banaee and N. Haspel. A new DP algorithm for comparing gene expression data using geometric similarity. In In Workshop on Computational Regulatory Genomics and Metagenomics, in conjunction with IEEE-BIBM, pages 1157-1161 Washington DC, 2015. BibTeX
  • R. Farhoodi, B. Akbal-Delibas and N. Haspel. Accurate prediction of docked protein structure similarity using neural networks and restricted boltzmann machines. CSBW (Computational Structural Bioinformatics Workshop), in conjunction with IEEE-BIBM, Washington DC 2015. BibTeX
  • Haspel N. Methods for Detecting Protein Binding Interfaces. Methods in Pharmacology and Toxicology, volume on Computer-aided Drug Discovery, pages 133-152. Editor: Wei Zhang, Publisher: Springer 2015. BibTeX

2014

  • Sara K. Murase, Nurit Haspel, Luis J. del Vallea, Eric A. Perpète, Catherine Michaux, Ruth Nussinov, Jordi Puiggalí and Carlos Alemán. Molecular characterization of l-phenylalanine terminated poly(l-lactide) conjugates. RSC Advances, 4(44):23231-23241, 2014. BibTeX
  • R. Vetro, R. Farhoodi, R. Kotla, N. Haspel, D. Weisman, J. Rosen and D. Simovici. TIDE: Inter-chromosomal Translocation and Insertion Detection using Embeddings. The 2014 Workshop on Big Data in Bioinformatics and Healthcare Informatics (BBH14), held in conjunction with the 2014 IEEE International Conference on Big Data, Washington, DC, October 2014. BibTeX
  • B. Akbal-Delibas, M. Pomplun and N. Haspel. AccuRMSD: A Machine Learning Approach to Predicting Structure Similarity of Docked Protein Complexes proc. of ACM-BCB (5th ACM International conference on Bioinformatics and Computational Biology), Newport Beach, CA, September 2014. BibTeX

2013

  • B. Akbal-Delibas, F. Jagodzinski, and N. Haspel. A conservation and rigidity based method for detecting critical protein residues. BMC Struct. Biol., 13(Suppl 1):S6, 2013. BibTeX
  • Akbal-Delibas, B. and N. Haspel. A conservation and biophysics guided stochastic approach to refining docked multimeric proteins. BMC Struct. Biol., 13(Suppl 1):S7, 2013. BibTeX
  • Zanuy D., Kotla R., Nussinov R., Teesalu T., Sugahara K. N., Aleman C. and Haspel N. Sequence dependence of C-End Rule peptides in binding and activation of Neuropilin -1 Receptor. J. Struct. Bio, 182(2):78-86, 2013. BibTeX
  • Jagodzinski, F., Akbal-Delibas, B., and N. Haspel. An evolutionary conservation & rigidity analysis machine learning approach for detecting critical protein residues. In CSBW (Computational Structural Bioinformatics Workshop), in proc. of ACM-BCB, 780-786, 2013. BibTeX
  • Luo D. and N. Haspel. Multi-resolution rigidity-based sampling of protein confor- mational paths. In CSBW (Computational Structural Bioinformatics Workshop), in proc. of ACM-BCB, 787-793, 2013. BibTeX
  • N., Haspel, D. Luo and E. Gonzalez. Detecting Intermediate Structures in Protein Conformational Pathways. Proc. of BICoB (5th international conference on bioinformatics and computational biology), Honolulu, HI, March 5-7 2013. BibTeX  
  • D. Luo and N. Haspel. Efficient Coarse-Grained Geometry-Based Sampling of Protein Conformational Paths. Proc. of BICoB (5th international conference on bioinformatics and computational biology), Honolulu, HI, March 5-7 2013. BibTeX 

2012

  • Haspel N., Laurent A. D., Zanuy D., Nussinov R., Aleman C., Puiggali J. and Revilla-López G. Conformational Exploration of Two Peptides and Their Hybrid Polymer Conjugates: Potentialities as Self-Aggregating Materials. J. Chem. Phys. B , 116(48):13941-52 (2012). BibTeX
  • B. Akbal-Delibas and N., Haspel. Refining Multimeric Protein Complexes Using Conservation, Electrostatics and Probabilistic Selection. in Proc. of the Computational Structural Biology Workshop (CSBW), in conjunction with IEEE BIBM '12, Philadelphia, PA, Oct. 4-7 2012, p. 102-108. BibTeX
  • B. Akbal-Delibas, F. Jagodzinski and N., Haspel. Towards a Hybrid Method for Detecting Critical Protein Residues. in Proc. of the Computational Structural Biology Workshop (CSBW), in conjunction with IEEE BIBM '12 , Philadelphia, PA, Oct. 4-7 2012, p. 82-85. BibTeX
  • Haspel N., Shell A. and Deutsch C., Computational approaches to measurement of visual attention: Modeling overselectivity in Intellectual and Developmental Disabilities. in Developing and Applying Biologically-Inspired Vision Systems: Interdisciplinary Concepts, pages 31-41. Publisher: IGI Global. Editors: M. Pomplun and J. Suzuki. BibTeX
  • N. Haspel and E. Gonzalez. Topological Properties of the Configuration Spaces of Proteins. Proc. of BICoB (4th international conference on bioinformatics and computational biology), Las Vegas, NV, March 12-14 2012. BibTeX
  • R. Vetro, N. Haspel and D. Simovici. Characterizing intermediate conformations in protein conformational space. Proc. of the Ninth International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics , Houston, TX, July 2012.
    BibTeX
  • B. Akbal-Delibas, I. Hashmi, A. Shehu and N. Haspel. An Evolutionary Conservation Based Method for Refining and Reranking Protein Complex Structures. Journal of Bioinformatics and Computational Biology (JBCB),10(3):1242008, 2012.
    BibTeX
  • I. Hashmi, B. Akbal-Delibas, N. Haspel and A. Shehu. Guiding protein docking with geometric and evolutionary information. Journal of Bioinformatics and Computational Biology (JBCB),10(3):1242002, 2012.
    BibTeX

2011

  • N. Haspel, D. Zanuy, R. Nussinov, T. Teesalu, E. Ruoslahti and C. Aleman. Binding of a C-end rule peptide to the neuropilin-1 receptor: a molecular modeling approach. Biomacromolecules, 50(10):1755-1762, 2011.
    BibTeX
  • B. Akbal, I. Hashmi, A. Shehu and N., Haspel. Refinement of protein complex structures using evolutionary traces. Proc. of the Computational Structural Biology Workshop (CSBW), in conjunction with IEEE BIBM '11, 400-405, 2011.
    BibTeX
  • I. Hashmi, B. Akbal, N., Haspel and A. Shehu. Protein docking with information on evilutionary conserved interfaces. Proc. of the Computational Structural Biology Workshop (CSBW), in conjunction with IEEE BIBM '11, 358-365, 2011.
    BibTeX

2010

  • N. Haspel, B. Geisbrecht, J.D. Lambris, and L.E. Kavraki. Multi-scale Characterization of the Energy Landscape of Proteins with Application to the C3d/Efb-C Complex. Proteins: Structure, Function and Bioinformatics, 78(4):1004-1014, 2010.
    BibTeX
  • N., Haspel, M., Moll, M.L., Baker, W., Chiu and L.E. Kavraki. Tracing conformational changes in proteins.BMC Structural Biology, 10 Suppl 1 (S1), 2010.
    BibTeX  
  • N., Haspel. Tracing conformational changes in proteins represented at a coarse level. proc. of BIONETICS 2010, Dec. 1-3 2010, Boston MA, USA.
    BibTeX  

2009

  • N., Haspel, M., Moll, M.L., Baker, W., Chiu and L.E. Kavraki. Tracing conformational changes in proteins. proceedings of the Computational Structural Biology Workshop (CSBW '09), in conjunction with IEEE international conference on Bioinformatics and Biomedicine (BIBM 09), Washington DC, Nov. 2009.
    BibTeXpdf 
  • D., Zanuy, G., Ballano, A.I., Jimenez AI, J., Casanovas, N., Haspel, C., Cativiela, D., Curco, R., Nussinov and C., Aleman. Protein Segments with Conformationally Restricted Amino Acids Can Control Supramolecular Organization at the Nanoscale. Journal of Chemical Information and Modeling, 49(7):1623–1629, 2009.
    BibTeX pdf 

2008

  • N., Haspel, D., Ricklin, B., Geisbrecht, J., Lambris, and L.E., Kavraki . Electrostatic Contributions Drive the Interaction Between Staphylococcus aureus Protein Efb-C and its Complement Target C3d. Prot. Sci., 17(11):1894–1906, 2008.
    BibTeXpdf 

2007

  • N., Haspel, D., Zanuy, J., Zheng, C., Aleman, H., Wolfson, and R. Nussinov. Changing the charge distribution of beta-helical based nanostructures can provide the conditions for charge transfer. Biophys. J., 93:245–253, 2007.
    BibTeX pdf 
  • N., Haspel, G., Wainreb, Y., Inbar, H.H., Tsai, C.J., Tsai, H.J., Wolfson, and R., Nussinov. A hierarchical protein folding scheme based on the building block folding model. Methods Mol. Biol., 350:189–204, 2007.
    BibTeX
  • J.,Zheng, D., Zanuy, N., Haspel, C.J., Tsai, C., Aleman, and R., Nussinov. Nanostructure design using protein building blocks enhanced by conformationally constrained synthetic residues.. Biochemistry, 46(5):1205–1218, 2007.
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  • C.J., Tsai, J.,Zheng, D., Zanuy, N., Haspel, and R., Nussinov. Principles of nanostructure design with protein building blocks. Proteins, 68, 2007.
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  • D. Zanuy, F. Rodriguez-Ropero, N. Haspel, J. Zheng, R. Nussinov, and C. Aleman. Stability of tubular structures based on beta-helical proteins: self-assembled versus polymerized nanoconstructs and wild-type versus mutated sequences. . Biomacromolecules, 8(10):3135–3146, 2007.
    BibTeX

2006

  • C., Aleman, D., Zanuy, A.I., Jimenez, C., Cativiela, N., Haspel, J., Zheng, J., Casanovas, H., Wolfson, and R., Nussinov. Concepts and schemes for the re-engineering of physical protein modules: generating nanodevices via targeted replacements with constrained amino acids.. Phys. Biol., 3(1):S54–62, 2006.
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  • N., Haspel, D., Zanuy, C., Aleman, H., Wolfson, and Nussinov R.. De-novo tubular nanostructure design based on self-assembly of beta-helical protein motifs.. Structure, 14:1137–1148, 2006.
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  • G., Wainreb, N., Haspel, H., Wolfson, and R., Nussinov. A permissive secondary structure-guided superposition tool for clustering of protein fragments toward protein structure prediction via fragment assembly. Bioinformatics, 22:1343–1352, 2006.
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2005

  • N., Haspel, D., Zanuy, B., Ma, H., Wolfson, and R., Nussinov. A comparative study of amyloid fibril formation by residues 15-19 of the human calcitonin hormone: A single beta-sheet model with a small hydrohpobic core.. J Mol Biol., 345(5):1213–1227, 2005.
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  • N., Haspel, D., Zanuy, H.H., Tsai, B., Ma, H., Wolfson, and R., Nussinov. Computational approaches and tools for establishing structural models for short amyloid-forming peptides.. In Amyloid Proteins, pp. 301–318, Ed. Jean D. Sipe.Wiley-VCH, 2005.
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2004

  • H.H., Tsai, D., Zanuy, N., Haspel, K., Gunasekaran, B., Ma, C.J., Tsai, and R. Nussinov. The stability and dynamic of the human Calcitonin amyloid peptide DFNKF.. Biophys. J., 87(1):146–158, 2004.
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  • D., Zanuy, N., Haspel, H.H., Tsai, B., Ma, G., Kannan, H., Wolfson, and R. Nussinov. Side chain interactions determine the amyloid organization: A single layer beta-sheet molecular structure of the calcitonin peptide segment 15-19.. Phys. Biol., 1:89–99, 2004.
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2003

  • N., Haspel, C.J., Tsai, H., Wolfson, and R., Nussinov. Hierarchical protein folding pathways: A computational study of protein fragments.. Proteins, 51:203–215, 2003.
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  • N., Haspel, C.J., Tsai, H., Wolfson, and R., Nussinov. Reducing the computational complexity of protein folding via fragment folding and assembly.. Prot. Sci., 12:1177–1187, 2003.
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  • D., Schneidman-Duhovny, Y., Inbar, V., Polak, M., Shatsky, I., Halperin, H., Benyamini, A., Barzilai, O., Dror, N., Haspel, R., Nussinov, and H.J., Wolfson. Taking geometry to its edge: Fast unbound rigid (and hinge-bent) docking. Proteins, 52(1):107–112, 2003.
    BibTeX pdf 

2002

  • N., Haspel, C.J., Tsai, H., Wolfson, and R., Nussinov. From the building blocks folding model to protein structure prediction. In Protein Structure Prediction: Bioinformatics approach, pp. 201–226, Ed. Tsigelny I., 2002.
    BibTeX
  • S., Kumar, A., Barzilai, N., Haspel, Y.Y., Sham, C.J., Tsai, H., Wolfson, and R., Nussinov. Critical building blocks in proteins: a common theme in folding and binding. In Recent Research Developments in Protein Folding, Stability and Design., Gromiha, M. KH. and Selvarage, S., Trivadrum, India, 2002.
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