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Volume 5, Issue 2 (Suppl)

Transcriptomics, an open access journal

ISSN: 2329-8936

Molecular Biology 2017

August 31-September 01, 2017

2

nd

International Conference on

August 31-September 01, 2017 Philadelphia, USA

Molecular Biology, Nucleic Acids &

Molecular Medicine

A predictive model for methionine oxidation propensity in therapeutic protein

Anne Li

Wootton High School, USA

M

ethionine is one of the amino acids that are subjected to oxidation, and can subsequently lead to loss of molecular

bioactivities or induce certain health conditions. Typically multiple methionine residues are present in proteinmolecules,

and their oxidation characteristics can be dramatically different.The secondary structures, hydrophobicity, local chain flexibility,

and solvent accessibility are all contributing factors to the oxidation propensity of these methionine residues. In this work, a

predictive model has been developed to correlate the methionine residual oxidation propensities with their aforementioned

properties. The model proteins used in this study, including monoclonal antibodies, growth hormone, interferons, etc., have

all been investigated experimentally on their methionine oxidation propensity, and well resolved protein crystal structures

documented in RCSB Protein Data Bank (PDB). The crystal structures of these proteins were optimized using QwikMD

simulation program (UIUC) to produce well solvated structures. These properties of each methionine residue in the proteins,

including hydrophobicity, local chain flexibility, and solvent accessibility, etc., were quantified and a mathematical model was

developed to correlate them with the rank ordering of their oxidation propensities reported in literatures. The model, once

further validated, provides a qualitative prediction tool to rank order methionine oxidation propensity in protein molecules

that are complementary to experimental investigation approaches.

Biography

Anne Li is a Senior at Wootton High School with interest in Biological Chemistry. She takes an active role in the STEM field at her schools as the President of both

Chemistry Club and Biology Club. Through her experience with the National Chemistry Olympiad and internship at the National Foundation for Cancer Research,

she has been able to apply what she has learned in the classroom to help the mission to find a cure for cancer.

anne2001.li@gmail.com

Anne Li, Transcriptomics 2017, 5:2 (Suppl)

DOI: 10.4172/2329-8936-C1-013