Titlebook: Bioinformatics: Sequences, Structures, Phylogeny; Asheesh Shanker Book 2018 Springer Nature Singapore Pte Ltd. 2018 Bioinformatics.Sequenc

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A Survey of the Structural Parameters Used for Computational Prediction of Protein Folding Process,, translocation and much more. In general, proteins are synthesized in ribosomes of eukaryotic organisms as linear polypeptide chains, which then acquire unique biologically active three-dimensional (3D) structures (also known as their native state) in a few seconds or so. Each protein has a unique

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Quality Assessment of Protein Tertiary Structures: Past, Present, and Future,onformational sampling of the decoys for a protein sequence and the scoring functions to perform quality assessment usually dictate the overall success of protein structure prediction. The field of protein structure quality assessment has achieved a chronological success over the years in differenti

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Predicting Protein Function Using Homology-Based Methods,ms, while the cellular function can be inferred by focussing on the interactions between specific proteins. The molecular function could be predicted based on methods that rely on comparing a sequence to another sequence of known function as proteins having similar sequences are usually homologous p

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Drug Discovery: An In Silico Approach,edicine during the past century. The arrival of molecular biology and genomic sciences has had a profound effect in this field. The process of drug discovery and development are both very laborious and time-consuming. Consequently, application of computational resources to chemical and biological sp

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Advanced In Silico Tools for Designing of Antigenic Epitope as Potential Vaccine Candidates Againstted pathogens were employed for vaccine development. But in present era, the peptide vaccines are in much trend and are favoured over whole vaccines because of their superiority over conventional vaccines. These vaccines are either based on single proteins or on synthetic peptides including several

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Machine Learning: What, Why, and How?,ng techniques. Learning from the data to make reliable predictions, discovering new patterns and theories has been the most challenging task for the researchers. Machine learning detects the hidden insights in the data, learns from them, and makes reliable predictions on the unseen data. It is used

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Asheesh ShankerCover the topics from sequencing to structural analysis.Beneficial to a beginner as well as for advanced learner.Covers intellectual property protection in bioinformatics

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c1519, VII.3.1 Anhydrous phosphates,value to the discoveries and provides incentives to the investors. Moreover, it drives innovation and advancement in the competitive society. The growing investments in the area of bioinformatics have increased the need of adequate intellectual property laws. This is one of the key facets in any eme