Mu.Ta.Lig - COST ACTION CA15135


14 June 2016


General information

Name: Hanoch
Surname: Senderowitz
Cell phone number with international prefix: +972542233076
Country: Israel
Affiliation: Bar-Ilan University
Gender: F □ M X
Year of the PhD title: 1993
Personal web page:,7703,7744


List of 10 selected publications within last 5 years

1. Kahazanov, N.; Iline-Vul, T.; Noy, E.; Goobes, G.; Senderowitz, H. Design of Cellulose Binding Peptides as Carriers for Catalytic Degradation of Cellulose Inspired by the Cellulose Binding Domain from T. Reesei, J. Phys. Chem. B. 2016, 120, 309-19.
2. Nahum O. E.; Yosipof, A. Senderowitz, H. A Multi-Objective Genetic Algorithm for Outlier Removal, J Chem. Inf. Model. J. Chem. Inf. Model., 2015, 55, 2507-2518.
3. Avgy-David, H.; Senderowitz, H. Towards Focusing Conformational Ensembles on Bioactive Conformations: A Molecular Mechanics / Quantum Mechanics Study, J. Chem. Inf. Model. 2015, 55, 2154–2167.
4. Gilad, Y; Nadassy Katalin; Senderowitz, H. A reliable computational protocol for the selection of optimal screening libraries, J. Chemoinformatics, 2015, Dec 11;7:61. doi: 10.1186/s13321-015-0108-0. eCollection 2015.
5. Momic, T.; Katzehendler, J.; Shai, E.; Varon, D.; Noy, E.;  Senderowitz, H.; Eble, J. A.;  Marcinkiewicz, C.; Lazarovici, P. Vipegitide a folded peptidomimetic partial antagonist of α2β1 integrin with anti-platelet aggregation activity, Drug Design, Development and Therapy, 2015, 10, 850-61.
6. Yosipof, A.; Senderowitz, H. k-Nearest Neighbors optimization based outlier removal. J. Comput. Chem. 2015, 36, 493-506.
7. Kahremany,  S.; Livne, A.; Gruzman, A.; Senderowitz, H.; Sasson S. Activation of Peroxisome Proliferator Activator Receptor-δ: from computer modeling to biological effects, Br. J. Pharmacol. 2015 172, 754-70.
8. Nadel, Y.; Gliad, Y.; Lecka, J.; Ben-David, G.; Sendrowitz, H.; Sévigny, J. Förster, D.; Reiser, G.; Camden, J.; Weisman, G. A.; Fischer, B, Highly potent and selective NPP1 inhibitors based on ATP – (α or γ) thio – (α,β or β,γ)-methylene scaffold.  J. Med. Chem. 2014 57, 4677-91.
9. Gilad, Y.; Senderowitz, H. Docking Studies on DNA Intercelators J. Chem. Inf. Model. 2014, 54, 96-107.
10. Noy, E.; Senderowitz, H. Molecular simulations for the evaluation of binding free energies in lead optimization Drug Development Research, 2011, 72, 36-44


Main skills and expertise (up to 5)

1. Computational Chemistry
2.Molecular Modeling
3.Computer aided drug design
4. Chemoinformatics
5. Cystic Fibrosis


Main equipment/facilities available in the participants’ lab (up to 5)

1.A computational cluster of ~300 cores
2.Software (BIOVIA, Schrodinger, Autodock, GROMACS, NAMD, Amber)



Short personal activity proposal for the COST Action CA15135 (max 1000 characters)



Work Group preference: score from 1 (preferred) to 4 (not preferred)

Work Group of the CA15135 COST Action Score
WG1: Development of new chemical entities 4
WG2: Selection of biological targets and assessment of biological data 2-3
WG3: Development of chemical databases 2-3
WG4: Development of Computational methods for multiple ligand design and discovery 1