Amino Acid Characters Research Articles

MulinforCPI: enhancing precision of compound-protein interaction prediction through novel perspectives on multi-level information integration.

Forecasting the interaction between compounds and proteins is crucial for discovering new drugs. However, previous sequence-based studies have not utilized three-dimensional (3D) information on compounds and proteins, such as atom coordinates and distance matrices, to predict binding affinity. Furthermore, numerous widely adopted computational techniques have relied on sequences of amino acid characters for protein representations. This approach may constrain the model's ability to capture meaningful biochemical features, impeding a more comprehensive understanding of the underlying proteins. Here, we propose a two-step deep learning strategy named MulinforCPI that incorporates transfer learning techniques with multi-level resolution features to overcome these limitations. Our approach leverages 3D information from both proteins and compounds and acquires a profound understanding of the atomic-level features of proteins. Besides, our research highlights the divide between first-principle and data-driven methods, offering new research prospects for compound-protein interaction tasks. We applied the proposed method to six datasets: Davis, Metz, KIBA, CASF-2016, DUD-E and BindingDB, to evaluate the effectiveness of our approach.

Gelatin Extraction and Characterization from Femur Bones of Bovine and Porcine with Acid Process

Gelatin has been widely used as an additive in food industry pharmaceutical, and cosmetic. The similar physical appearance between bovine and porcine gelatin causes an issue for some communities like a Muslim due to awareness of halal food. This study aims to produce gelatin from femur bones of bovines with acid hydrolysis and their characteristics compared to standard gelatin of bovine and porcine. Bovine and porcine bones were soaked in 5% HCl for 10 days and every 2 days a HCl solution was replaced to get ossein. Ossein is hydrolyzed by gradual heating at 65, 75, and 85oC. Gelatin confirmed by the physico-chemical characters, FT-IR and analysis amino acid with HPLC.The results showed that the yield of bovine gelatin was 4.33%. The physico-chemical characters of bovine gelatin resulting from isolation and bovine gelatin standards are in conformity with porcine gelatin standards and meet the requirements of SNI 06-3735-1995 and GMIA. Therefore, bovine gelatin is specifically capable of substituting porcine gelatin for application in the pharmaceutical field. The FTIR spectrum of bovine gelatin shows the presence of amide A, amide I, amide II and amide III groups. The amino acid characters of gelatin were identified as glycine (13.57%) and proline (1.62%) for bovine gelatin and glycine (0.51%) and proline (0.09%) for porcine gelatin.

Protein Secondary Structure Prediction Using Character Bi-gram Embedding and Bi-LSTM

Background: Protein secondary structure is vital to predicting the tertiary structure, which is essential in deciding protein function and drug designing. Therefore, there is a high requirement of computational methods to predict secondary structure from their primary sequence. Protein primary sequences represented as a linear combination of twenty amino acid characters and contain the contextual information for secondary structure prediction. Objective and Methods: Protein secondary structure predicted from their primary sequences using a deep recurrent neural network. Protein secondary structure depends on local and long-range residues in primary sequences. In the proposed work, the local contextual information of amino acid residues captures with character n-gram. A dense embedding vector represents this local contextual information. Furthermore, the bidirectional long short-term memory (Bi-LSTM) model is used to capture the long-range contexts by extracting the past and future residues information in primary sequences. Results: The proposed deep recurrent architecture is evaluated for its efficacy for datasets, namely ss.txt, RS126, and CASP9. The model shows the Q3 accuracies of 88.45%, 83.48%, and 86.69% for ss.txt, RS126, and CASP9, respectively. The performance of the proposed model is also compared with other state-of-the-art methods available in the literature. Conclusion: After a comparative analysis, it was observed that the proposed model is performing better in comparison to state-of-art methods.

Systematic errors in phylogenetic trees

The effort to reconstruct the tree of life was revolutionized by the use of sequences of proteins and nucleic acids. Phylogenetic trees are now routinely inferred using hundreds of thousands of amino acid or nucleotide characters. It thus seems surprising that many aspects of the tree of life are still controversial; conflicting results between large scale phylogenomic studies show that errors remain common despite large datasets. These errors often result from systematic biases in the way sequences evolve. While the resulting systematic errors are well understood, it requires careful efforts to reduce their effects.

A New Method of Gene Information Vectorization and its Application in Similarity Search

With the development of the Human Genome Project, more and more biological sequence data are generated, and the analysis and processing of these sequence data have promoted the development of bioinformatics. Sequence similarity analysis is the basis of bioinformatics, through which we can use the information of known sequences to study the structure, function and evolutionary relationship of unknown new sequences. This paper performs data compression and retrieval on the genome database based on the dbSNP information of DNA. According to the rule of determining a protein by three bases, the amino acid characters are determined, and the redundant information is removed by using the dbSNP information. It is the first time to propose the construction of a new compressed form of biological sequence structure, which can reflect the strong correlation between the SNP location information and SNP in each sample in the genome. Finally, this paper constructs a complete biological sequence approximate neighbor query system, which can not only greatly reduce the storage and computing overhead, but also improve the query efficiency under the condition of ensuring the retrieval accuracy. The accuracy and scalability of this method are verified by experiments on a large data set of gene database.

Dynalogo: an interactive sequence logo with dynamic thresholding of matched quantitative proteomic data.

Current web-based sequence logo analyses for studying domain-peptide interactions are often conducted only on high affinity binders due to conservative data thresholding. We have developed Dynalogo, a combination of threshold varying tool and sequence logo generator written in the R statistical programming language, which allows on-the-fly visualization of binding specificity over a wide range of affinity interactions. Hence researchers can easily explore their dataset without the constraint of an arbitrary threshold. After importing quantitative data files, there are various data filtering and visualizing features available. Using a threshold control, users can easily track the dynamic change of enrichment and depletion of amino acid characters in the sequence logo panel. The built-in export function allows downloading filtered data and graphical outputs for further analyses. Dynalogo is optimized for analysis of modular domain-peptide binding experiments but the platform offers a broader application including quantitative proteomics. Dynalogo application, user manual and sample data files are available at https://dynalogo.cam.uchc.edu. The source code is available at https://github.com/lafontaine-uchc/dynalogo. Supplementary data are available at Bioinformatics online.

Plastid phylogenomics and biogeographic analysis support a trans-Tethyan origin and rapid early radiation of Cornales in the Mid-Cretaceous

The Cornales is a relatively small but morphologically diverse order in the basal position of the Asterids clade. Previous study hypothesized that the order might have undergone ancient rapid radiation during the Cretaceous when major angiosperm lineages were established. We conducted the phylogenomic analysis of Cornales using 81 plastid genome sequences with 67 newly generated in this study to test the hypothesis. This sampling represents all the families and 31 out of 48 genera in the order. Phylogenetic analyses were conducted using different datasets to examine the effects of different coding positions and character coding methods. We further conducted divergence time, diversification rate, and biogeographic analyses to understand the early evolutionary history of Cornales in space and time. Our phylogenetic analyses of four datasets (the amino acid characters, the 1st and 2nd codon positions of protein coding genes, nucleotide characters with degenerated coding method, and noncoding regions) resulted in a robust phylogeny congruent with results of previous studies, showing (((Cornaceae-Alangiaceae)-(Curtisiaceae-Grubbiaceae))-(((Nyssaceae-Davidiaceae)-Mastixiaceae)-((Hydrostachyaceae-(Hydrangeaceae-Loasaceae)))). Phylogenetic relationships within families were also well resolved. Conflicts in the placement of Hydrostachyaceae were found from analyses of two datasets, the nucleotide characters of all codon position and the 3rd codon positions, where the family was united with Loasaceae, but not strongly supported. Results from divergence time analyses suggested a mid-Cretaceous origin of Cornales followed by rapid early diversification into major clades/families within 10 million years. The early diversification of Cornales may have been facilitated by divergence in habitat and morphology following geographic dispersals. The ancestral distribution of the order was inferred as a widespread range covering Asia, Europe, North America, and Africa when including fossils in the analyses, suggesting an origin of the order likely along the Tethys Seaway where the areas were connected in the mid-Cretaceous. Inferred geographic origins of each family differed to some extent between analyses including fossils vs excluding fossils. In the analysis with extant and fossil species, the origins of the African Hydrostachyaceae and Grubbiaceae-Curtisiaceae clade were inferred to have involved two independent events, an intercontinental dispersal from the northern hemisphere to Africa and an intercontinental vicariance between the northern hemisphere and Africa, respectively. Other families were inferred to have evolved in the northern hemisphere with subsequent intercontinental dispersal(s) to other areas including to Central and South America, during their subsequent diversification. Net diversification rate analysis based on treePL dated phylogeny using MEDUSA detected a nearly 5-fold decrease in the African endemic Curtisiaceae-Grubbiaceae (CuG) clade and an increase of rate in the Hydrangeaceae-Loasaceae (HL) clade. Within HL, a decrease in the Fendlera-Jamesia clade and an increase in the Philadelphus clade were also detected. The findings are also consistent with the level of present species diversity in these lineages. Our study demonstrated the value of plastid genome in phylogenomic study, but posed an old challenge of biogeographic study with fossil data and raised caution for the synonymous substitution sites of plastid genome in phylogenomics studies.

Correlation of Combined Characters of Amino Acid and Whole Protein with Success Rate of Crystallization of <i>Lactobacillus</i> Proteins

Crystallization of proteins is a very delicate process, which is influenced by many known and unknown factors. Of tested factors, many factors are exclusively related to individual amino-acid characters such as molecular weight or protein characters such as protein length. It is considered necessary to test factors that combine both individual amino-acid characters and protein characters with respect to success rate of crystallization. In this study, two combined characters characterizing individual amino-acid character and protein character, amino acid distribution probability and future composition, were used to correlate the success rate of crystallization of proteins from Lactobacillus via modeling. The results obtained from logistic regression and neural network were compared against the results obtained from each of 533 individual amino-acid characters. This study demonstrated that the combined characters are involved in crystallization process and should be taken into account for predicting the success rate of crystallization process.

Molecular classification based on apomorphic amino acids (Arthropoda, Hexapoda): Integrative taxonomy in the era of phylogenomics.

With the great development of sequencing technologies and systematic methods, our understanding of evolutionary relationships at deeper levels within the tree of life has greatly improved over the last decade. However, the current taxonomic methodology is insufficient to describe the growing levels of diversity in both a standardised and general way due to the limitations of using only morphological traits to describe clades. Herein, we propose the idea of a molecular classification based on hierarchical and discrete amino acid characters. Clades are classified based on the results of phylogenetic analyses and described using amino acids with group specificity in phylograms. Practices based on the recently published phylogenomic datasets of insects together with 15 de novo sequenced transcriptomes in this study demonstrate that such a methodology can accommodate various higher ranks of taxonomy. Such an approach has the advantage of describing organisms in a standard and discrete way within a phylogenetic framework, thereby facilitating the recognition of clades from the view of the whole lineage, as indicated by PhyloCode. By combining identification keys and phylogenies, the molecular classification based on hierarchical and discrete characters may greatly boost the progress of integrative taxonomy.

From algae to angiosperms–inferring the phylogeny of green plants (Viridiplantae) from 360 plastid genomes

BackgroundNext-generation sequencing has provided a wealth of plastid genome sequence data from an increasingly diverse set of green plants (Viridiplantae). Although these data have helped resolve the phylogeny of numerous clades (e.g., green algae, angiosperms, and gymnosperms), their utility for inferring relationships across all green plants is uncertain. Viridiplantae originated 700-1500 million years ago and may comprise as many as 500,000 species. This clade represents a major source of photosynthetic carbon and contains an immense diversity of life forms, including some of the smallest and largest eukaryotes. Here we explore the limits and challenges of inferring a comprehensive green plant phylogeny from available complete or nearly complete plastid genome sequence data.ResultsWe assembled protein-coding sequence data for 78 genes from 360 diverse green plant taxa with complete or nearly complete plastid genome sequences available from GenBank. Phylogenetic analyses of the plastid data recovered well-supported backbone relationships and strong support for relationships that were not observed in previous analyses of major subclades within Viridiplantae. However, there also is evidence of systematic error in some analyses. In several instances we obtained strongly supported but conflicting topologies from analyses of nucleotides versus amino acid characters, and the considerable variation in GC content among lineages and within single genomes affected the phylogenetic placement of several taxa.ConclusionsAnalyses of the plastid sequence data recovered a strongly supported framework of relationships for green plants. This framework includes: i) the placement of Zygnematophyceace as sister to land plants (Embryophyta), ii) a clade of extant gymnosperms (Acrogymnospermae) with cycads + Ginkgo sister to remaining extant gymnosperms and with gnetophytes (Gnetophyta) sister to non-Pinaceae conifers (Gnecup trees), and iii) within the monilophyte clade (Monilophyta), Equisetales + Psilotales are sister to Marattiales + leptosporangiate ferns. Our analyses also highlight the challenges of using plastid genome sequences in deep-level phylogenomic analyses, and we provide suggestions for future analyses that will likely incorporate plastid genome sequence data for thousands of species. We particularly emphasize the importance of exploring the effects of different partitioning and character coding strategies.

JUZBOX: A web server for extracting biomedical words from the protein sequence

The recognition of gene/protein names in literature is one of the pivotal steps in the processing of biological literatures for information extraction or data mining. We have compiled a lexicon of biomedical words (conserved patterns/ potential motifs) which has the combination of only 20 alphabets of amino acids. The remaining 6 letters of the English alphabets (B, J, O, U, X, Z) are treated as invalid amino acid characters (to our context), We have jumbled the 6 letters for the sake of usage and convenience and termed as 'JUZBOX' and these characters were filtered in the biomedical lexicon. Undoubtedly, the generation of biomedical words from protein sequence using JUZBOX have applications specific for functional annotation. JUZBOX is available freely at http://www.spices.res.in/juzbox.

A whole-genome phylogeny of the family Pasteurellaceae

A phylogenomic approach was used to generate an amino acid phylogeny for 12 whole genomes representing 10 species in the family Pasteurellaceae. Orthology of genes was determined using an approach similar to OrthologID (http://nypg.bio.nyu.edu/orthologid/about.html) and resulted in the generation of a matrix with 3130 genes with 1,194,615 aligned amino acid characters of which 239,504 characters are phylogenetically informative. Phylogenetic analysis of the concatenated matrix using all standard approaches (maximum parsimony, maximum likelihood, and Bayesian analysis) results in a single extremely robust phylogenetic hypothesis for the species examined in this study. Remarkably, no single gene partition gives the same tree as the concatenated analysis. By analyzing partitioned support in the data matrix, we show that there is very little negative support emanating from individual gene partitions to suggest that the concatenated hypothesis is not tenable. The large number of characters in the matrix allows us to test hypotheses concerning missing data and character number in phylogenomic studies, and we conclude that matrices constructed using genome level information are very robust to missing data. We show that a very large number of concatenated gene sequences (>160) are needed to reliably obtain the same topology as the overall analysis.

Incorporation of gap characters and lineage‐specific regions into phylogenetic analyses of gene families from divergent clades: an example from the kinesin superfamily across eukaryotes

AbstractThe kinesin superfamily across eukaryotes was used to examine how incorporation of gap characters scored from conserved regions shared by all members of a gene family and incorporation of amino acid and gap characters scored from lineage‐specific regions affect gene‐tree inference of the gene family as a whole. We addressed these two questions in the context of two different densities of sequence sampling, four alignment programs, and two methods of tree construction. Taken together, our findings suggest the following. First, gap characters should be incorporated into gene‐tree inference, even for divergent sequences. Second, gene regions that are not conserved among all or most sequences sampled should not be automatically discarded without evaluation of potential phylogenetic signal that may be contained in gap and/or sequence characters. Third, among the four alignment programs evaluated using their default alignment parameters, Clustal may be expected to output alignments that result in the greatest gene‐tree resolution and support. Yet, this high resolution and support should be regarded as optimistic, rather than conservative, estimates. Fourth, this same conclusion regarding resolution and support holds for Bayesian gene‐tree analyses relative to parsimony‐jackknife gene‐tree analyses. We suggest that a more conservative approach, such as aligning the sequences using DIALIGN‐T or MAFFT, analyzing the appropriate characters using parsimony, and assessing branch support using the jackknife, is more appropriate for inferring gene trees of divergent gene families.© The Willi Hennig Society 2007.

The partial mitochondrial genome of the Cephalothrix rufifrons (Nemertea, Palaeonemertea): Characterization and implications for the phylogenetic position of Nemertea

A continuous 10.1 kb fragment of the Cephalothrix rufifrons (Nemertea, Palaeonemertea) mitochondrial genome was sequenced and characterized to further assess organization of protostome mitochondrial genomes and evaluate the phylogenetic potential of gene arrangement and amino acid characters. The genome is A − T rich (72%), and this biased base composition is partly reflected in codon usage. Inferred tRNA secondary structures are typical of those reported for other metazoan mitochondrial DNAs. The arrangement of the 26 genes contained in the fragment exhibits marked similarity to those of many protostome taxa, most notably molluscs with highly conserved arrangements and a phoronid. Separate and simultaneous phylogenetic analyses of inferred amino acid sequences and gene adjacencies place the nemertean within the protostomes among coelomate lophotrochozoan taxa, but do not find a well-supported sister taxon link.

A phylogenomic analysis of the Ascomycota

An automated procedure was developed to extract orthologous sequences from fungal genomes and incorporate them into phylogenomic analyses in a timely and efficient manner. This approach involves parsing an all versus all BLASTP search of 17 proteomes and creating a similarity matrix from e-values, which is then used to cluster proteins into related groups by means of a Markov Clustering algorithm. After performing this analysis at different stringency levels, 854 single copy protein clusters, which were ubiquitously distributed in all 17 proteomes, were identified. These clusters were culled to include only those clusters where all proteins had best hits to and received hits from a protein within the same cluster. The final data set included gapless alignments for 781 clusters of orthologous sequences that were concatenated into one super alignment containing 195,664 amino acid characters. Neighbor-joining distance and maximum likelihood analyses resulted in identical topologies and all except one node received 100% bootstrap support. The node supporting Stagonospora nodorum’s position received 83% support or higher; it was also the only taxon differentially resolved in the maximum parsimony analyses. All analyses resolved the two derived subphyla Pezizomycotina and Saccharomycotina, and Schizosaccharomyces pombe as an early diverging lineage of the Ascomycota. Importantly, these analyses resolved the Leotiomycetes as the sister group to the Sordariomycetes, a region of the Ascomycota phylogeny that has remained problematic in molecular phylogenetic studies of more limited character sampling. Additional phylogenetic analyses which included orthologous sequences from an unannotated ascomycotan genome (e.g., Coccidioides immitis) and subsets of orthologs with different characteristics supported this topology. Phylogenetic analyses of the 595 orthologs which included C. immitis resulted in an identical topology to the previous 781 ortholog analysis and correctly placed C. immitis in the Eurotiomycetes. This demonstrated the correct identification of orthologs and the ability to incorporate unannotated genomic data into a common phylogenetic analysis.

Mitochondrial phylogeny of Anura (Amphibia): A case study of congruent phylogenetic reconstruction using amino acid and nucleotide characters

We explore whether phylogenetic analyses of the same sequence data set at the amino acid and nucleotide level are able to recover congruent topologies, as well as the advantages and limitations of both alternative approaches. As a case study, mitochondrial protein-coding genes were used to discern among competing hypotheses on the phylogenetic relationships of major anuran amphibian lineages. To properly address this phylogenetic question, the complete nucleotide sequences of the mitochondrial genomes of two archaeobatrachian species, Ascaphus truei and Pelobates cultripes, were determined anew. Bayesian and maximum likelihood phylogenetic inferences of the same sequence data set were performed based on both amino acid and nucleotide characters, with the latter analysed either as codons or as a reduced data set of first + second (P12) codon positions. In addition, likelihood-based ratio tests were performed to evaluate the support of alternative topologies. The different data sets arrived at congruent and highly supported topologies, suggesting a similar phylogenetic resolving power of the two character types provided that correctly selected sites and appropriate evolutionary models are used. The reconstructed anuran mitochondrial phylogeny supports the paraphyly of Archaeobatrachia, with Ascaphus as sister group to all the remaining anurans, and Pelobates as sister group of Neobatrachia. However, the employed tree reconstruction methods and likelihood-based ratio tests seemed to be negatively affected by the fast evolving sequences of neobatrachians, suggesting that the phylogeny of Anura here presented is not definitive, and needs further investigation using an extended taxon sampling.

Visualizing Conflicting Evolutionary Hypotheses in Large Collections of Trees: Using Consensus Networks to Study the Origins of Placentals and Hexapods

Many phylogenetic methods produce large collections of trees as opposed to a single tree, which allows the exploration of support for various evolutionary hypotheses. However, to be useful, the information contained in large collections of trees should be summarized; frequently this is achieved by constructing a consensus tree. Consensus trees display only those signals that are present in a large proportion of the trees. However, by their very nature consensus trees require that any conflicts between the trees are necessarily disregarded. We present a method that extends the notion of consensus trees to allow the visualization of conflicting hypotheses in a consensus network. We demonstrate the utility of this method in highlighting differences amongst maximum likelihood bootstrap values and Bayesian posterior probabilities in the placental mammal phylogeny, and also in comparing the phylogenetic signal contained in amino acid versus nucleotide characters for hexapod monophyly.

Relative character-state space, amount of potential phylogenetic information, and heterogeneity of nucleotide and amino acid characters

We examined a broad selection of protein-coding loci from a diverse array of clades and genomes to quantify three factors that determine whether nucleotide or amino acid characters should be preferred for phylogenetic inference. First, we quantified the difference in observed character-state space between nucleotides and amino acids. Second, we quantified the loss of potential phylogenetic signal from silent substitutions when amino acids are used. Third, we used the disparity index to quantify the relative compositional heterogeneity of nucleotides and amino acids and then determined how commonly convergent (rather than unique) shifts in nucleotide and amino acid composition occur in a phylogenetic context. The greater potential phylogenetic signal for nucleotide characters was found to be enormous (on average 440% that of amino acids), whereas the greater observed character-state space for amino acids was less impressive (on average 150.4% that of nucleotides). While matrices of amino acid sequences had less compositional heterogeneity than their corresponding nucleotide sequences, heterogeneity in amino acid composition may be more homoplasious than heterogeneity in nucleotide composition. Given the ability of increased taxon sampling to better utilize the greater potential phylogenetic signal of nucleotide characters and decrease the potential for artifacts caused by heterogeneous nucleotide composition among taxa, we suggest that increased taxon sampling be performed whenever possible instead of restricting analyses to amino acid characters.

Relative character-state space, amount of potential phylogenetic information, and heterogeneity of nucleotide and amino acid characters*1

Relative character-state space, amount of potential phylogenetic information, and heterogeneity of nucleotide and amino acid characters*1

Amino acid vs. nucleotide characters: challenging preconceived notions

The Soltis et al. (2000) 567-terminal analysis of atpB, rbcL, and 18S rDNA was used as an empirical example to test the use of amino acid vs. nucleotide characters for protein-coding genes at deeper taxonomic levels. Nucleotides for atpB and rbcL had 6.5 times the amount of possible synapomorphy as amino acids. Based on parsimony analyses with unordered character states, nucleotides outperformed amino acids for all three measures of phylogenetic signal used (resolution, branch support, and congruence with independent evidence). The nucleotide tree was much more resolved than the amino acid tree, for both large and small clades. Nearly twice the percentage of well-supported clades resolved in the 18S rDNA tree were resolved using nucleotides (91.8%) relative to amino acids (49.2%). The well-supported clades resolved by both character types were much better supported by nucleotides (98.7% vs. 83.8% average jackknife support). The faster evolving nucleotides with a smaller average character-state space outperformed the slower evolving amino acids with a larger average character-state space. Nucleotides outperformed amino acids even with 90% of the terminals deleted. The lack of resolution on the amino acid trees appears to be caused by a lack of congruence among the amino acids, not a lack of replacement substitutions.