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Benchmark databases for multiple sequence alignment: An overview

in Algorithms/Sequence Analysis/Softwares by

Multiple sequence alignment (MSA) is a very crucial step in most of the molecular analyses and evolutionary studies. Many MSA programs have been developed so far based on different approaches which attempt to provide optimal alignment with high accuracy. Basic algorithms employed to develop MSA programs include progressive algorithm [1], iterative-based [2], and consistency-based algorithm [3]. Some of the programs incorporate several other methods into the process of creating an optimal alignment such as M-COFFEE [4] and PCMA [5]. Continue reading “Benchmark databases for multiple sequence alignment: An overview” »

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” »

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