Menachem Fromer

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I've completed my PhD and moved to The Broad Institute of MIT and Harvard as a Computational Biologist in the Stanley Center for Psychiatric Research.

My new home page is here:
http://www.broadinstitute.org/~fromer
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I'm a Ph.D. student in Computational Biology at the
School of Computer Science & Engineering,
The Hebrew University of Jerusalem.

My advisors are Prof. Michal Linial (from the Life Sciences Department) and
Prof. Nati Linial (from the Computer Science Department).


Contact Information:

The Hebrew University of Jerusalem
School of Computer Science and Engineering
Jerusalem 91904, Israel

E-mail:

Phone:
+972-2-658-5386



Curriculum Vitae



Publications

Bibliography
[FYH+10]
Menachem Fromer, Chen Yanover, Amir Harel, Ori Shachar, Yair Weiss, and Michal Linial. SPRINT: Side-chain prediction inference toolbox for multistate protein design. submitted, 2010.

[FL10]
Menachem Fromer and Michal Linial. Exposing the coevolutionary potential of protein-protein interfaces through computational design. submitted, 2010.

[PFLL10]
Yosef Prat, Menachem Fromer, Nathan Linial, and Michal Linial. Coplanarity analysis of gene expression leverages the inference of gene function. submitted, 2010.

[YFss]
Chen Yanover and Menachem Fromer. Prediction of Low Energy Protein Side Chain Configurations using Markov Random Fields. In Thomas Hamelryck, Kanti V. Mardia, and Jesper Ferkinghoff-Borg, editors, Bayesian Methods in Structural Bioinformatics. Springer-Verlag, Berlin, Germany, 2010 (in press).

[RFSL10]
Nadav Rappoport, Menachem Fromer, Regev Schweiger, and Michal Linial. PANDORA: analysis of protein and peptide sets through the hierarchical integration of annotations. Nucl. Acids Res., page gkq320, 2010.

[FYL10]
Menachem Fromer, Chen Yanover, and Michal Linial. Design of multispecific protein sequences using probabilistic graphical modeling. Proteins: Structure, Function, and Bioinformatics, 78:530-547, 2010.

[FG09]
Menachem Fromer and Amir Globerson. An LP view of the M-best MAP problem. In Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams, and A. Culotta, editors, Advances in Neural Information Processing Systems (NIPS) 22 [Outstanding Student Paper Award], pages 567-575. 2009.

[FS09]
Menachem Fromer and Julia M. Shifman. Tradeoff between stability and multispecificity in the design of promiscuous proteins. PLoS Comput Biol, 5(12):e1000627, 12 2009.

[NFL09]
Guy Naamati, Menachem Fromer, and Michal Linial. Expansion of tandem repeats in sea anemone nematostella vectensis proteome: A source for gene novelty?. BMC Genomics, 10(1):593, 2009.

[PFLL09]
Yosef Prat, Menachem Fromer, Nathan Linial, and Michal Linial. Codon usage is associated with the evolutionary age of genes in metazoan genomes. BMC Evolutionary Biology, 9(1):285, 2009.

[BFPL09]
Iris Bahir, Menachem Fromer, Yosef Prat, and Michal Linial. Viral adaptation to host: a proteome-based analysis of codon usage and amino acid preferences. Mol Syst Biol, 5, Oct 2009.

[SF09]
Julia M. Shifman and Menachem Fromer. Search Algorithms. In Sheldon J. Park and Jennifer R. Cochran, editors, Protein Engineering and Design. CRC Press, Boca Raton, FL, USA, 2009.

[FY09]
Menachem Fromer and Chen Yanover. Accurate prediction for atomic-level protein design and its application in diversifying the near-optimal sequence space. Proteins: Structure, Function, and Bioinformatics, 75:682-705, 2009.

[FY08]
Menachem Fromer and Chen Yanover. A computational framework to empower probabilistic protein design. Bioinformatics, 24(13):i214-222, 2008.

[LPFL08]
Yaniv Loewenstein, Elon Portugaly, Menachem Fromer, and Michal Linial. Efficient algorithms for accurate hierarchical clustering of huge datasets: tackling the entire protein space. Bioinformatics, 24(13):i41-49, 2008.

[VFML07]
Roy Varshavsky, Menachem Fromer, Amit Man, and Michal Linial. When less is more: Improving classification of protein families with a minimal set of global features. In Algorithms in Bioinformatics, Lecture Notes in Computer Science, pages 12-24. Springer, 2007.

[YFS07]
Chen Yanover, Menachem Fromer, and Julia M. Shifman. Dead-end elimination for multistate protein design. Journal of Computational Chemistry, 28:2122-2129, 2007.

[KSI+05]
Noam Kaplan, Ori Sasson, Uri Inbar, Moriah Friedlich, Menachem Fromer, Hillel Fleischer, Elon Portugaly, Nathan Linial, and Michal Linial. ProtoNet 4.0: A hierarchical classification of one million protein sequences. Nucl. Acids Res., 33(suppl_1):D216-218, 2005.

[KFFL04]
Noam Kaplan, Moriah Friedlich, Menachem Fromer, and Michal Linial. A functional hierarchical organization of the protein sequence space. BMC Bioinformatics, 5(1):196, 2004.

[HMWBS+03]
Hagit Hoch-Marchaim, Aryeh M. Weiss, Allan Bar-Sinai, Menachem Fromer, Knut Adermann, and Jacob Hochman. The leader peptide of MMTV Env precursor localizes to the nucleoli in MMTV-derived T cell lymphomas and interacts with nucleolar protein B23. Virology, 313:22-32, Aug 2003.

[ZYO+99]
Qinghong Zhang, Karina Yaniv, Froma Oberman, Uta Wolke, Anna Git, Menachem Fromer, William L. Taylor, Dirk Meyer, Nancy Standart, Erez Raz, and Joel K. Yisraeli. Vg1 RBP intracellular distribution and evolutionarily conserved expression at multiple stages during development. Mechanisms of Development, 88:101-106, Oct 1999.



Conference Presentations

Bibliography
[Fro10]
A probabilistic approach to the design of interfaces in proteins with multiple partners: Tradeoff between stability and promiscuity. In Intelligent Systems for Molecular Biology (ISMB): Highlights Track. 2010.

[Fro09]
An LP view of the M-best MAP problem. In Neural Information Processing Systems (NIPS) 22 [Outstanding Student Paper Award]. 2009.

[Fro08]
A computational framework to empower probabilistic protein design. In Intelligent Systems for Molecular Biology (ISMB): Proceedings Track. 2008.

[Fro07]
When less is more: Improving classification of protein families with a minimal set of global features. In Workshop on Algorithms in Bioinformatics (WABI). 2007.



Software

SPRINT: Side-chain PRediction INference Toolbox for Multistate Protein Design