Analysis of Microalgal Proteins Interactions

Introduction

The need for sustainable energy reserves and enhanced environmental controls have been increasing over the past few years, and this trend appearsto continue. One new weapon to meet this challenge is the development of microalgae. Among these, microalgal proteins contain all essential amino acids and have great potential to become an alternative protein source, with protein concentrates that can be used in the food, feed, and bulk chemical industries. Bioinformatics analysis methods can help elucidate microalgae's molecular mechanisms and thus facilitate their full exploitation. In particular, virtual proteomics represents a rapidly evolving scientific field at the border of bioinformatics and molecular biology, including tools for the prediction, simulation, and modeling of protein complex interactions, as well as insights into transient intracellular signaling pathways and protein evolution.

Fig 1. How the pyrenoid reduces CO₂ leakage in Chlamydomonas reinhardtii. (Mukherjee A, et al., 2019)

Customized Solutions

Bioinformatics approaches can now identify putative protein interactions exclusively from genomic sequences. Over the years, our skilled scientists have developed gene fusion and fission-based bioinformatics methods for putative microalgal protein-protein interactions. At Lifeasible, we offer specialized services for the analysis of microalgal protein interactions to predict the 3D structure of microalgal fusion and component proteins and to identify potential protein interactions and functional links in different microalgal species.

The services we can provide include the following:

• Predicting Microalgal Protein Interactions and Functions
  Our scientists use protein fusion analysis and computational software (such as SAFE) to identify potential protein interactions and functions in seven microalgal species.
• Identifying the 3D Structure of Identified Microalgal Proteins and Complexes
  Our scientists use homology models to predict the three-dimensional structure of identified proteins or complexes to help you gain insight into microalgal proteins' molecular structure and function.

Our virtual proteomics service applies new bioinformatics methods to the proteomes of five different microalgal organisms, including green algae, Chlamydomonas reinhardtii, Chlorella variegata, Chlorella luminescens, red algae, and diatoms.

Advantages of Our Solutions

• With the most accurate 3D structure prediction method.
• Structure-based molecular design, docking simulations.
• Automated, robust, and highly selective prediction software.
• Identifies putative interactions and functionally relevant proteins.
• 3D structures of identified proteins and complexes.
• Complements labor-intensive and time-consuming traditional experimental methods.
• Bioinformatics approach combined with classical experimental procedures.

Based on bioinformatics analysis of gene fusions and fissions, we can quickly help you predict protein interactions of different microalgae to expand your understanding of microalgal species beyond the analysis of experimental observations. If you are interested in our solutions for the analysis of microalgal protein interactions, please contact us directly.