Kekerabatan Lektin Tumbuhan dari Famili Araceae sebagai Protein Antikanker Berdasarkan Kajian Bioinformatika

Cen, Virencia Junita (2021) Kekerabatan Lektin Tumbuhan dari Famili Araceae sebagai Protein Antikanker Berdasarkan Kajian Bioinformatika. S1 thesis, Universitas Kristen Indonesia.

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Abstract

Di Indonesia, tanaman herbal terkait lektin yang bermanfaat sebagai antikanker belum banyak tereksplor, mulai dari kajian ilmiah secara bioinformatika mengenai karakteristik lektin tanaman, hingga basis data lektin pada database online seperti NCBI (National Center for Biotechnology Information). Data lektin terkait gen dan asam amino penyusunannya yang cukup lengkap pada NCBI adalah lektin dari Typhonium divaricatum yang berasal dari China, sehingga hal ini yang mendasari penggunaan data lektin Typhonium divaricatum untuk dijadikan sebagai dasar kajian jenis-jenis lektin secara bioinformatika pada riset ini. Penelitian ini bertujuan untuk mengkarakterisasi lektin pada tanaman Typhonium divaricatum dengan tanaman lain pada database, berdasarkan sekuen gen, sekuen asam amino, dan struktur protein lektin. Data diambil dari database NCBI (National Center for Biotechnology), lalu dilakukan pengolahan untuk di analisis. Dalam pengolahannya, menggunakan beberapa tools seperti BLAST (Basic Local Alignment Search Tool) , EBI (European Bioinformatics Institute) dengan Clustal Omega, dan molbiol tools dengan PHYRE2 (Protein Homology/analogy Recognition Engine). Dari 13 data protein lektin yang diambil, didapatkan kekerabatan antara sekuen gen dan asam amino yang signifikan. Didukung dengan hasil penjajaran gen yang paling tinggi mencapai 87%, dan yang paling rendah 83 %, sedangkan hasil penjajaran asam amino yang paling tinggi, mencapai 80%, dan yang paling rendah 70%, selain hasil data penjajaran, didapatkan persamaan data template utama yang digunakan sebagai dasar dalam pembentukan prediksi struktur 3D protein lektin, yaitu strucutral characterization of the native-fetuin-binding protein2 scilla campanulata agglutinin (scafet) : a novel two-domain lectin [c1dlpA]. Secara keseluruhan, analisis data ini menunjukkan adanya persamaan karakteristik antara sekuens gen Lektin tanaman Typhonium divaricatum dengan tanaman lain pada database dan adanya persamaan karakteristik prediksi struktur 3 dimensi asam amino lektin tanaman Typhonium divaricatum dengan tanaman lain pada database, serta kekerabatan yang dekat antara lektin tanaman Typhonium divaricatum dengan lektin tanaman lain pada database. Kata Kunci : Lektin, herbal, tanaman, bioinformatik, kekerabatan. / In Indonesia, lectin related herbal plants that are useful as anticancer have not been widely explored, starting from bioinformatics scientific studies on the characteristics of plant lectin, to lectin databases on online databases such as NCBI (National Center for Biotechnology Information). The complete data for lectins related to genes and amino acids in NCBI are lectins from Typhonium divaricatum originating from China, so this is the basis for the use of Typhonium divaricatum lectin data to serve as the basis data for the study of lectin types bioinformatics in this research. This study aimed to characterize the lectins in Typhonium divaricatum with other plants in the database, based on gene sequences, amino acid sequences, and lectin protein structures. Data was taken from the NCBI (National Center for Biotechnology) database, then processed for analysis. In processing, using several tools such as BLAST (Basic Local Alignment Search Tool), EBI (European Bioinformatics Institute) with Clustal Omega, and Molbiol tools with PHYRE2 (Protein Homology / Analogy Recognition Engine). From the 13 lectin protein data taken, a significant relationship between gene sequences and amino acids was obtained. Supported by the highest gene alignment results reaching 87%, and the lowest being 83%, while the highest amino acid alignment results reach 80%, and the lowest is 70%, besides the alignment data results, the main template data equation was obtained, and used as the basis for the formation of a 3D prediction of lectin structure, that is strucutral characterization of the native-fetuin-binding protein2 scilla campanulata agglutinin (scafet) : a novel two-domain lectin [c1dlpA]. Overall, this data analysis shows that there are similarities between the gene sequences of the Typhonium divaricatum plant lectin and other plants in the database and the similarities in the characteristics of the 3D structure prediction of the amino acid lectin of the Typhonium divaricatum plant with other plants in the database, as well as the close relationship between Typhonium divaricatum plant lectins with other plant lectins in the database. Keywords : Lectin, herbal, plants, bioinformatics, kinship

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