FIND

researchers

DISCOVER

relevant articles

PROMOTE

your research

now for free

Chen Yanover

Research Profile

Concepts & Ideas

Chemicals & Drugs

Activities & Behaviors

Genes & Molecular Sequences

Occupations

Procedures

Phenomena

Protein Binding

Co-author Network

Publications

TOP 3
Guang Lan Zhang; Shanfeng Zhu; Hifzur Rahman Ansari; Phil Bradley; Gavin C Cawley; James E Crowe; Włodzisław Duch; Tomer Hertz; Xihao Hu; Nebojsa Jojic; Yohan Kim; Oliver Kohlbacher; Ole Lund; Claus Lundegaard; Craig A Magaret; Morten Nielsen; Christos Panayiotou; Harris Papadopoulos; Marios M Polycarpou; Gajendra PS Raghava; Michael T Rock; Vider-Shalit Tal; Li C Xue; Chen Yanover; Vladimir Brusic
Machine learning competition in immunology - Prediction of HLA class I binding peptides.
Oz Sharabi; Chen Yanover; Ayelet Dekel; Julia M Shifman
Optimizing energy functions for protein-protein interface design.
Menachem Fromer; Chen Yanover; Amir Harel; Ori Shachar; Yair Weiss; Michal Linial
SPRINT: side-chain prediction inference toolbox for multistate protein design.

Register for free to view:

Visualized networks:

See your personal network in
sophisticated graphical views

GeoTargeted Searches:

Locate experts around the world
and connect with global collaborators

Research Profiles:

See the research activity
of experts around the globe

Geonetwork of Chen Yanover (preview)

Cities where this author has publications
Cities where co-authors of this author have publications

Flash Player Required

All Publications

2011: Guang Lan Zhang; Shanfeng Zhu; Hifzur Rahman Ansari; Phil Bradley; Gavin C Cawley; James E Crowe; Włodzisław Duch; Tomer Hertz; Xihao Hu; Nebojsa Jojic; Yohan Kim; Oliver Kohlbacher; Ole Lund; Claus Lundegaard; Craig A Magaret; Morten Nielsen; Christos Panayiotou; Harris Papadopoulos; Marios M Polycarpou; Gajendra PS Raghava; Michael T Rock; Vider-Shalit Tal; Li C Xue; Chen Yanover; Vladimir Brusic
Machine learning competition in immunology - Prediction of HLA class I binding peptides.
Journal of immunological methods 2011;374(1-2):1-4.
2011: Oz Sharabi; Chen Yanover; Ayelet Dekel; Julia M Shifman
Optimizing energy functions for protein-protein interface design.
Journal of computational chemistry 2011;32(1):23-32.
2010: Menachem Fromer; Chen Yanover; Amir Harel; Ori Shachar; Yair Weiss; Michal Linial
SPRINT: side-chain prediction inference toolbox for multistate protein design.
Bioinformatics (Oxford, England) 2010;26(19):2466-7.
2010: Menachem Fromer; Chen Yanover; Michal Linial
Design of multispecific protein sequences using probabilistic graphical modeling.
Proteins 2010;78(3):530-47.
2009: Menachem Fromer; Chen Yanover
Accurate prediction for atomic-level protein design and its application in diversifying the near-optimal sequence space.
Proteins 2009;75(3):682-705.
2008: Chen Yanover; Ora Schueler-Furman; Yair Weiss
Minimizing and learning energy functions for side-chain prediction.
Journal of computational biology : a journal of computational molecular cell biology 2008;15(7):899-911.
2008: Menachem Fromer; Chen Yanover
A computational framework to empower probabilistic protein design.
Bioinformatics (Oxford, England) 2008;24(13):i214-22.
2007: Chen Yanover; Menachem Fromer; Julia M Shifman
Dead-end elimination for multistate protein design.
Journal of computational chemistry 2007;28(13):2122-9.
2007: Tomer Hertz; Chen Yanover
Identifying HLA supertypes by learning distance functions.
Bioinformatics (Oxford, England) 2007;23(2):e148-55.
2006: Tomer Hertz; Chen Yanover
PepDist: a new framework for protein-peptide binding prediction based on learning peptide distance functions.
BMC bioinformatics 2006;7 Suppl 1():S3.
1998: Oren Schuldiner; Chen Yanover; Nissim Benvenisty
Computer analysis of the entire budding yeast genome for putative targets of the GCN4 transcription factor.
Current genetics 1998;33(1):16-20.