{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Guo Z"],"funding":["National Natural Science Foundation of China","National Key Research and Development Program of China"],"pagination":["btae064"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10924749"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["40(3)"],"pubmed_abstract":["Motivation
Protein structure comparison is pivotal for deriving homological relationships, elucidating protein functions, and understanding evolutionary developments. The burgeoning field of in-silico protein structure prediction now yields billions of models with near-experimental accuracy, necessitating sophisticated tools for discerning structural similarities among proteins, particularly when sequence similarity is limited.Results
In this article, we have developed the align distance matrix with scale (ADAMS) pipeline, which synergizes the distance matrix alignment method with the scale-invariant feature transform algorithm, streamlining protein structure comparison on a proteomic scale. Utilizing a computer vision-centric strategy for contrasting disparate distance mat"],"journal":["Bioinformatics (Oxford, England)"],"pubmed_title":["Utilizing the scale-invariant feature transform algorithm to align distance matrices facilitates systematic protein structure comparison."],"pmcid":["PMC10924749"],"funding_grant_id":["2017YFA0102900","31671444","31871352","31861143042","31730052","2019YFA0508401","31991190"],"pubmed_authors":["Guo Z","Ou G","Wang Y"],"additional_accession":[]},"is_claimable":false,"name":"Utilizing the scale-invariant feature transform algorithm to align distance matrices facilitates systematic protein structure comparison.","description":"Motivation
Protein structure comparison is pivotal for deriving homological relationships, elucidating protein functions, and understanding evolutionary developments. The burgeoning field of in-silico protein structure prediction now yields billions of models with near-experimental accuracy, necessitating sophisticated tools for discerning structural similarities among proteins, particularly when sequence similarity is limited.Results
In this article, we have developed the align distance matrix with scale (ADAMS) pipeline, which synergizes the distance matrix alignment method with the scale-invariant feature transform algorithm, streamlining protein structure comparison on a proteomic scale. Utilizing a computer vision-centric strategy for contrasting disparate distance mat","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Mar","modification":"2025-04-04T12:58:45.101Z","creation":"2025-04-04T12:58:45.101Z"},"accession":"S-EPMC10924749","cross_references":{"pubmed":["38318777"],"doi":["10.1093/bioinformatics/btae064"]}}