Thursday, 19 March 2015

Protein Engineering-2017

About Conference


Conference Series LLC would like to take the honor to invite you all to the “3rdInternational Conference on Genetic and Protein Engineering” that is to be held during November 08-09, 2017 at Las Vegas, USA. Through our theme ‘Protein Engineering: Exploring the patterns of life. The conference will explore the recent advancements and new methodologies about protein and genetic  engineering.

The broad subject coverage of the Congress and its size provide an excellent setting for participants to gain valuable insight into progress in research areas beyond their own. In addition, a range of special sessions aim to occupy participants on wider issues, such as teaching in the proteomics research.
Protein Engineering 2017 will have a strong emphasis on support and encouragement for the next generation of scientists, along with early-career researchers, a Young Researchers Forum, and activities to encourage interaction with peers and experts.
Altogether the Conference aims to be a classic cross-discipline gathering in the protein and genetic engineering field for research presentation, discussion, learning, inspiration and encouragement with participants leaving with new research knowledge and thoughts, and perhaps the beginnings of international collaborations and associations.



Conference Highlights

  • Protein Engineering
  • Genetic Engineering
  • Enzyme Engineering
  • Protein Therapeutics & Market Analysis
  • Molecular Modelling and Drug Designing
  • Cancer Genome Biology
  • Protein Engineered Biomaterials
  • Applications of Genetic and Protein Engineering
  • Regenerative Medicine
  • Transcriptome analysis & Gene Expression
  • Antibody Engineering
  • Pharmacogenomics & Pharmacoproteomics
  • Recombinant Protein Expression
  • Mass Spectrometry in Proteome Research
  • Protein Purification


Special Issues


  •  All accepted abstracts will be published in respective International Journals.
  •  Abstracts will be provided with Digital Object Identifier by Cross Ref.