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ab-initio prediction of protein structure: An introduction

in Algorithms/Structural Bioinformatics/Structure Prediction by

We have heard a lot about the ab-initio term in Bioinformatics, which could be difficult to understand for newbies in the field of bioinformatics. Today, we will discuss in detail what ab-initio is and what are the applicable methods for it. Continue reading “ab-initio prediction of protein structure: An introduction” »

Intrinsically disordered proteins’ predictors and databases: An overview

in Algorithms/Softwares/Tools by

Intrinsically unstructured proteins (IUPs) are the natively unfolded proteins which must be unfolded or disordered in order to perform their functions.  They are commonly referred as intrinsically disordered proteins (IDPs) and play significant roles in regulating and signaling biological networks [1]. IDPs are also involved in the assembly of signaling complexes and in the dynamic self-assembly of membrane-less nuclear and cytoplasmic organelles [1]. The disordered regions in a protein can be highly conserved among the species in respect of both the composition and the sequence [2]. Continue reading “Intrinsically disordered proteins’ predictors and databases: An overview” »

An introduction to the predictors of pathogenic point mutations

in Algorithms/Softwares/Tools by

Single nucleotide variation is a change in a single nucleotide in a sequence irrespective of the frequency of the variation. Single nucleotide variants (SNVs) play a very important role in causing several diseases such as the tumor, cancer, etc. Many efforts have been made to identify the SNVs which were initially based on identifying non-synonymous mutations in coding regions of the genomes. Continue reading “An introduction to the predictors of pathogenic point mutations” »

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