Implied alignment: a synapomorphy-based multiple-sequence alignment method and its use in cladogram search

Cladistics ◽  
2003 ◽  
Vol 19 (3) ◽  
pp. 261-268 ◽  
Author(s):  
Ward C Wheeler
2010 ◽  
Vol 439-440 ◽  
pp. 35-40
Author(s):  
Zhan Mao Cao ◽  
Wen Jun Xiao ◽  
Li Min Peng

A brand new performance assessment model is proposed for multiple sequence alignment. The new strategy is based on beam constructing of DC-BTA algorithm, which is a Divide-and-Conquer alignment method with beams. Beams form blocks of almost the identical columns and contribute biggest similarity weight to sequences. A formula to compute all beam areas covering a sequence assigns a value or weight to the sequence. And the total beam area is a partial to the whole alignment. A rate value between 0 and 1 is computed to assess the performance. This scheme is a simple and effective assessment policy in DC-BTA for the convenience of collecting the beam areas.


2014 ◽  
Vol 23 (3) ◽  
pp. 261-275 ◽  
Author(s):  
Widad Kartous ◽  
Abdesslem Layeb ◽  
Salim Chikhi

AbstractMultiple sequence alignment (MSA) is one of the major problems that can be encountered in the bioinformatics field. MSA consists in aligning a set of biological sequences to extract the similarities between them. Unfortunately, this problem has been shown to be NP-hard. In this article, a new algorithm was proposed to deal with this problem; it is based on a quantum-inspired cuckoo search algorithm. The other feature of the proposed approach is the use of a randomized progressive alignment method based on a hybrid global/local pairwise algorithm to construct the initial population. The results obtained by this hybridization are very encouraging and show the feasibility and effectiveness of the proposed solution.


2000 ◽  
Vol 47 (4) ◽  
pp. 1019-1026 ◽  
Author(s):  
E A Czuryło

Seven highly conserved regions were found in caldesmon molecules from various sources using the multiple sequence alignment method. Their localization coincides with regions where the binding sites to other proteins were postulated. Less conserved and highly divergent regions of the sequences are described as well. These results could refine the planning of caldesmon gene manipulations and accelerate the precise localization of binding sites in the caldesmon molecule and, as a consequence, this could help to elucidate its function in smooth muscle contraction.


2020 ◽  
Vol 17 (1) ◽  
pp. 59-77
Author(s):  
Anand Kumar Nelapati ◽  
JagadeeshBabu PonnanEttiyappan

Background:Hyperuricemia and gout are the conditions, which is a response of accumulation of uric acid in the blood and urine. Uric acid is the product of purine metabolic pathway in humans. Uricase is a therapeutic enzyme that can enzymatically reduces the concentration of uric acid in serum and urine into more a soluble allantoin. Uricases are widely available in several sources like bacteria, fungi, yeast, plants and animals.Objective:The present study is aimed at elucidating the structure and physiochemical properties of uricase by insilico analysis.Methods:A total number of sixty amino acid sequences of uricase belongs to different sources were obtained from NCBI and different analysis like Multiple Sequence Alignment (MSA), homology search, phylogenetic relation, motif search, domain architecture and physiochemical properties including pI, EC, Ai, Ii, and were performed.Results:Multiple sequence alignment of all the selected protein sequences has exhibited distinct difference between bacterial, fungal, plant and animal sources based on the position-specific existence of conserved amino acid residues. The maximum homology of all the selected protein sequences is between 51-388. In singular category, homology is between 16-337 for bacterial uricase, 14-339 for fungal uricase, 12-317 for plants uricase, and 37-361 for animals uricase. The phylogenetic tree constructed based on the amino acid sequences disclosed clusters indicating that uricase is from different source. The physiochemical features revealed that the uricase amino acid residues are in between 300- 338 with a molecular weight as 33-39kDa and theoretical pI ranging from 4.95-8.88. The amino acid composition results showed that valine amino acid has a high average frequency of 8.79 percentage compared to different amino acids in all analyzed species.Conclusion:In the area of bioinformatics field, this work might be informative and a stepping-stone to other researchers to get an idea about the physicochemical features, evolutionary history and structural motifs of uricase that can be widely used in biotechnological and pharmaceutical industries. Therefore, the proposed in silico analysis can be considered for protein engineering work, as well as for gout therapy.


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