Molecular Evolution

Get all the Details about Molecular Evolution

✴Molecular evolution looks at changes to DNA and proteins. Scientists study the effects of these changes, how they occur, and the rate they occur to understand how life has evolved over time.✴

► When you hear the word ''evolution,'' it's easy to think of a very big picture. You might imagine small cells changing and evolving into plants, fish, dinosaurs, monkeys, apes, and finally, humans.✦

► These big changes don't happen on their own. They happen when our instructional material, deoxyribonucleic acid (DNA), is mutated, or changed. When the DNA sequence of a gene is changed, the resulting protein may be altered as well. These small mutations can build up over time and result in big changes in an organism. These changes at the DNA level are part of molecular evolution.✦

【Topics Covered in this App are Listed Below】

⇢ Introduction To Molecular Evolution & Phylogeny:What, When, Why & How?

⇢ Understanding Protein Function - The Disparity Between Bioinformatics and Molecular Methods

⇢ In Silico Identification of Regulatory Elements in Promoters

⇢ In Silico Analysis of Golgi Glycosyltransferases: A Case Study on the LARGE-Like Protein Family

⇢ MicroArray Technology - Expression Profiling of MRNA and MicroRNA in Breast Cancer

⇢ Computational Tools for Identification of microRNAs in Deep Sequencing Data Sets

⇢ Computational Methods in Mass Spectrometry-Based Protein 3D Studies

⇢ Synthetic Biology & Bioinformatics Prospects in the Cancer Arena

⇢ An Overview of Hardware-Based Acceleration of Biological Sequence Alignment

⇢ Retrieving and Categorizing Bioinformatics Publications through a MultiAgent System

⇢ GRID Computing and Computational Immunology

⇢ Functional Analysis of the Cervical Carcinoma Transcriptome: Networks and New Genes Associated to Cancer

⇢ Number Distribution of Transmembrane Helices in Prokaryote Genomes

⇢ Classifying TIM Barrel Protein Domain Structure by an Alignment Approach Using Best Hit Strategy and PSI-BLAST

⇢ Identification of Functional Diversity in the Enolase Superfamily Proteins

⇢ Contributions of Structure Comparison Methods to the Protein Structure Prediction Field

⇢ Functional Analysis of Intergenic Regions for Gene Discovery

⇢ Prediction of Transcriptional Regulatory Networks for Retinal Development

⇢ The Use of Functional Genomics in Synthetic Promoter Design

⇢ Analysis of Transcriptomic and Proteomic Data in Immune-Mediated Diseases

⇢ Emergence of the Diversified Short ORFeome by Mass Spectrometry-Based Proteomics

⇢ Acrylamide Binding to Its Cellular Targets: Insights from Computational Studies