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SigniSite: Identification of residue-level genotype-phenotype correlations in protein multiple sequence alignments

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Statistical Methods in Medical Research

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An Evolutionary Trace Method Defines Binding Surfaces Common to Protein Families

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Functional Specificity Lies within the Properties and Evolutionary Changes of Amino Acids

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Multi-RELIEF: a method to recognize specificity determining residues from multiple sequence alignments using a Machine-Learning approach for feature weighting

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Human Immunodeficiency Virus Reverse Transcriptase and Protease Sequence Database

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MAFFT: a novel method for rapid multiple sequence alignment based on fast Fourier transform

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Human immunodeficiency virus reverse transcriptase and protease sequence database

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SDPpred: a tool for prediction of amino acid residues that determine differences in functional specificity of homologous proteins

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Multi-Harmony: detecting functional specificity from sequence alignment

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Seq2Logo: a method for construction and visualization of amino acid binding motifs and sequence profiles including sequence weighting, pseudo counts and two-sided representation of amino acid enrichment and depletion

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SPEER-SERVER: a web server for prediction of protein specificity determining sites

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UPDATE ON DRUG RESISTANCE MUTATIONS IN HIV-1

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Ensemble approach to predict specificity determinants: benchmarking and validation

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Networks of High Mutual Information Define the Structural Proximity of Catalytic Sites: Implications for Catalytic Residue Identification

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Immunological Bioinformatics

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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NEP: web server for epitope prediction based on antibody neutralization of viral strains with diverse sequences

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Significant association of SNP polymorphism in the tilapiaenhancer of polycomb homolog 1gene with salt tolerance

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LEON-BIS: multiple alignment evaluation of sequence neighbours using a Bayesian inference system

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IDEPI: Rapid Prediction of HIV-1 Antibody Epitopes and Other Phenotypic Features from Sequence Data Using a Flexible Machine Learning Platform

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Identifying a cooperative catalytic network for efficient esterase catalysis

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