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R. Ezra Langlois
Applications of Machine Learning to
Structure Prediction

Contact      
  Email rlangl1@***
  Phone (312) **3-2020
  Address

Medical Sciences Building (MSB)
Room: W113
835 S. Wolcott
Chicago IL, 60612

       
Education University of Illinois at Chicago (UIC)
Bachelor of Science in Bioengineering
Awarded May, 2002
       
Conferences Biophysical Society 2007 Baltimore (Poster)
RECOMB: Systems Biology and Computational Proteomics 2006 (Poster)
Biophysical Society 2006 Salt Lake City (Platform & 1 Poster)
International Conference on Machine Learning 2006 Pittsburg
ICAM Workshop 2006 St. Louis – Travel Award
Biophysical Society 2005 Long Beach (3 Posters)
Midwest Protein Fold Conference 2005 South Bend (Poster)
Modeling Protein Interactions in Genomics 2005 Lawrence
Machine Learning Summer School 2005 Chicago – Travel Award
Biophysical Society 2004 Baltimore (Poster)
       
Research

Machine Learning
Protein Folding
Protein Structure Prediction
Protein Function Annotation
Single Nucleotide Polymorphisms

   
Publications
2007
   
  Non-homologous Function Annotation using Sequence: A Case Study of DNA-binding Proteins
[8]
Robert Ezra Langlois and Hui Lu
PDF
 

In preparation

CITE
     
 

Combining structural and sequence information to predict the functional effect of single amino acid polymorphisms (SAPs)

[7]

Zhi-Qiang Ye, Shu-Qi Zhao, Ge Gao, Robert E. Langlois, Hui Lu and Liping Wei

PDF
  In preparation
CITE
     
2006
   
 

Learning to Translate Sequence and Structure to Function: Identifying DNA Binding and Membrane Binding Proteins

[6]
Robert E. Langlois, Matthew B Carson, Nitin Bhardwaj and Hui Lu
PDF
 

Annals of Biomedical Engineering (Accepted)

CITE
     
  Structural Bioinformatics Prediction of Membrane-Binding Proteins
[5]
Nitin Bhardwaj, Robert V. Stahelin, Robert Ezra Langlois, Wonhwa Cho, Hui Lu
PDF
  Journal of Molecular Biology, 359(2): 486
CITE
     
  Improved protein fold assignment using support vector machines
[4]
Robert Ezra Langlois, Alice Diec, Ognjen Perisic, Yang Dai, Hui Lu
PDF
  International Journal of Bioinformatics Research and Applications, 1(3):319-335
CITE
     
2005
   
  Kernel-based machine learning protocol for recognizing DNA-binding proteins
[3]
Nitin Bhardwaj, Robert Ezra Langlois, Guijun Zhao, Hui Lu
PDF
  Nucleic Acid Research, 33(20):6486-6493
CITE
     
  Structure Based Prediction of Binding Residues on DNA-binding Proteins
[2]
Nitin Bhardwaj, Robert Ezra Langlois, Guijun Zhao, Hui Lu
PDF
  27th Annual International Conference of the Engineering in Medicine and Biology Society
CITE
     
2004
   
  Kernel based approach for protein fold prediction from sequence
[1]
Robert Ezra Langlois, Alice Diec, Yang Dai, Hui Lu
  26th Annual International Conference of the Engineering in Medicine and Biology Society