Toward understanding the origin and evolution of cellular organisms

By Minoru Kanehisa. Protein Science, 2019

4,010 citations recorded by the source corpus.

In this era of high‐throughput biology, bioinformatics has become a major discipline for making sense out of large‐scale datasets. Bioinformatics is usually considered as a practical field developing databases and software tools for supporting other fields, rather than a fundamental scientific discipline for uncovering principles of biology. The KEGG resource that we have been developing is a reference knowledge base for biological interpretation of genome sequences and other high‐throughput data. It is now one of the most utilized biological databases because of its practical values. For me personally, KEGG is a step toward understanding the origin and evolution of cellular organisms.

View Paper: https://www.semanticscholar.org/paper/8f4f844b9f7534169138dbc8239a3158d495bc9a

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Citations in the corpus

• KEGG mapping tools for uncovering hidden features in biological data (2021, methodology): “The KEGG database resource has been developed as a reference knowledge base for uncovering cellular and organism-level functions from genome sequences and other molecular datasets.(1) This is accomplished by the procedure of KEGG mapping, especially with the concept of functional orthologs.”
• KEGG for taxonomy-based analysis of pathways and genomes (2022, background): “It is hoped that this latter aspect will further be improved to enable a better understanding of more fundamental problems, such as how molecular network systems were developed in the cell, coevolved with the genome and transmitted to extant species (3).”
• KEGG: integrating viruses and cellular organisms (2020, methodology): “Systems and perturbations have been used as a conceptual framework for developing the KEGG (Kyoto Encyclopedia of Genes and Genomes) database resource (1).”
• Severe COVID-19 Is Marked by a Dysregulated Myeloid Cell Compartment (2020, unknown): “GO enrichment Gene set enrichment was performed on gene sets from the Kyoto Encyclopedia of Genes andGenomes (KEGG) database (Kanehisa, 2019), Hallmark gene sets (Liberzon et al.”
• The STRING database in 2023: protein–protein association networks and functional enrichment analyses for any sequenced genome of interest (2022, background): “A dense network of functional connections among proteins has evolved to support cellular life, forming a multitude of pathways, protein complexes and cellular structures (1,2).”