Protein Structure Prediction
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It is difficult to predict a proteins three-dimensional shape from its amino acid sequence is one of the most critical unsolved difficulties in biophysics and computational biology. It provides a complete overview of recent protein structure prediction efforts and progress. Related topics and methodologies are provided and addressed after the general flowchart of structure prediction. In addition, concise overviews of many commonly used prediction methods and community-wide critical assessment of protein structure prediction (CASP) experiments are provided. The goal of protein structure prediction and engineering design is to reduce the enormous gap between sequence and structure space. The approaches for predicting protein structure can be divided into three categories: (1) ab initio methods, (2) threading, and (3) homology modeling. The ab initio (de-novo) approaches are based on first-principles physics and chemistry laws and the concept that the natural structure is always at the lowest energy level. Modeling a protein sequence with more than 150 residues using this method can be challenging.
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Types of Bioinformatics: We undertake commonly used prediction methods and community-wide critical assessment of protein structure prediction (CASP) experiments are provided.
Wide range of Sources: NCBI, BLAST, Pubmed, Pubmed Nucleotide, Pubmed Protein, Pubmed Gene, Pubmed Sequence.
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Bioinformatics tools extract useful information from many molecular biology and biological databases and perform sequence and structural analysis. Bioinformatics tools aid in the comparison, research, and interpretation of genetic and genomic data.
To predict the 2D structure of a protein molecule, a variety of tools are available. E.g. ExPASy (the Expert Protein Analysis System), developed by the Swiss Institute of Bioinformatics, is one of the essential tools (SIB).
Pubrica will provide a particular time; it depends upon your research work. We're here to help you understand the work you've done and respond to any questions you could have. You can contact us at any time, even after your service has ended.
Homology-based approaches predict a gene by aligning a protein (or RNA sequence in the form of full-length mRNA, cDNA, or EST) with the genome sequence to be annotated. The prediction is influenced by the known sequence (also known as evidence).
Proteomics data analysis, Comparative genomics, Functional genomics, Phylogeny in the protein evolutionary process, and Protein modeling are all examples of bioinformatics being used to predict the function of actual gene products.
