The Relationship between Protein Binding Affinity and the Clinical Data of Cancer Patients

Abstract

Because Next Generation Sequencing (NGS) technique gets mature these years there are more and more accomplishments of research based on NGS data analyzing Some researches correlate disease with Single Nucleotide Polymorphism (SNP) which are found in NGS data Or furthermore they transform these SNPs into Mutational Signature and try to explain the mutation route of some kinds of diseases Besides the strategies mentioned above there are research based on other mutation types ex: CNV INDEL Structural Variation Chemical reaction and physiological signal transmission rely on the attendance of proteins and these proteins are built according to our DNA sequences Thus many researches told us that the occurrence or progression of cancer are strongly related to the structural or sequential alterations on proteins which are attributed to the mutations on DNA sequences This research will focus on collecting SNP on protein coding regions and showing the changes of relationship among proteins 3D structures with protein structure simulation and proteins docking These changes will be quantized to build a Protein-Protein Interaction (PPI) profile for each patient These profiles are expected to discover the relationship to clinical status or phenotypes of patients by methods of in-silico evaluations

Date of Award	2018 Aug 15
Original language	English
Supervisor	Jung-Hsien Chiang (Supervisor)