?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=IMPLEMENTASI+PENGGABUNGAN+EKSTRAKSI+FITUR+DALAM%0D%0AMENINGKATKAN+KLASIFIKASI+POST-TRANSLATIONAL%0D%0AMODIFICATION+(PTM)+GLIKOSILASI+PADA+PROTEIN+SEQUENCE+N%2C+O%0D%0ADAN+C+DENGAN+METODE+EXTREME+GRADIENT+BOOSTING%0D%0A%0D%0A(XGBOOST)&rft.creator=Damayanti%09%2C+Damayanti&rft.subject=507+Pendidikan%2C+penelitian%2C+topik+terkait+ilmu+pengetahuan+alam&rft.description=Post-translational+modification+(PTM)+adalah+salah+satu+mekanisme+penting+dalam%0D%0Amengatur+fugsi+protein.+Modifikasi+pasca+translasi+mengacu+pada+penambahan%0D%0Amodifikasi+protein+kovalen+dan+enzimatik+dalam+biosintesis+protein%2C+yang+memiliki%0D%0Aperan+penting+dalam+memodifikasi+fungsi+protein+dan+mengatur+ekspresi+gen.+Salah%0D%0Asatu+modifikasi+pasca+translasi+adalah+glikosilasi.+Glikosilasi+adalah+penambahan%0D%0Agugus+gula+ke+struktur+protein.+Glikosilasi+telah+terkait+dengan+beberapa+penyakit%0D%0Adiantaranya+diabetes%2C+kanker%2C+dan+alzheimer.+Oleh+karena+itu%2C+penting+untuk%0D%0Amengantisipasi+terjadinya+glikosilasi+dengan+melakukan+prediksi+glikosilasi.%0D%0APermasalahan+dalam+prediksi+glikosilasi+saat+ini+masih+bergantung+pada+teknik%0D%0Alaboratorium+manual%2C+yang+menyebabkan+proses+prediksi+menjadi+lambat+dan%0D%0Amemerlukan+biaya+peralatan+laboratorium+yang+tinggi.+Untuk+mengatasi+hal%0D%0Atersebut%2C+diperlukan+pendekatan+machine+learning+sehingga+prediksi+dapat%0D%0Adilakukan+lebih+cepat+dan+tidak+membutuhkan+biaya+yang+mahal.%0D%0AData+yang+digunakan+dalam+penelitian+ini+adalah+data+PTM+glikosilasi-N%2C%0D%0Aglikosilasi-O%2C+dan+glikosilasi-C+yang+diperoleh+dari+website+UniProt+yang+tersedia%0D%0Asecara+terbuka.+Penelitian+ini+bertujuan+untuk+meningkatkan+akurasi+klasifikasi%0D%0Amodifikasi+pasca+translasi+glikosilasi-N%2C+glikosilasi-O%2C+dan+glikosilasi-C+dengan%0D%0Amenggabungkan+5+(lima)+Ekstraksi+fitur+dan+menggunakan+algoritma+Extreme%0D%0AGradient+Boosting+(XGBoost).%0D%0AEkstraksi+fitur+terdiri+dari%3A+AAIndex%2C+Hydrophobicity%2C+SABLE%2C+CTD%2C+dan+PseAAC.%0D%0ASeleksi+fitur+dilakukan+dengan+pendekatan+MRMR.+Masing-masing+fitur%0D%0Amemberikan+kontribusi+terhadap+peningkatan+prediksi+glikosilasi.+Fitur+AAIndex%0D%0Amemberikan+kontribusi+terbesar+pada+peningkatan+prediksi+glikosilasi-N+secara%0D%0Akeseluruhan+sebesar+24%25.+Sedangkan%2C+fitur+SABLE+memberikan+kontribusi%0D%0Aterbesar+pada+peningkatan+prediksi+glikosilasi-O+sebesar+44%25.+Fitur+Hydrophobicity%0D%0Adan+PseAAC+masing-masing+berkontribusi+sebesar+27%25+untuk+pningkatan+prediksi%0D%0Aglikosilasi-C%0D%0A%0D%0Aiv%0D%0A%0D%0AHasil+penelitian+ini+menunjukkan+kinerja+prediksi+modifikasi+pasca+translasi%0D%0Aglikosilasi-N%2C+glikosilasi-O+dan+glikosilasi-C+dengan+masing-masing+nilai+akurasi%0D%0A100%25.+Pendekatan+menggunakan+XGBoost+dalam+penelitian+ini+berhasil%0D%0Ameningkatkan+akurasi+sebesar+5%25+dibandingkan+dengan+penelitian+sebelumnya.%0D%0AKata+Kunci%3A+Post-translational+modifications%2C+glikosilasi%2C+sequence%2C+xgboost%2C%0D%0Aklasifikasi%0D%0A%0D%0A%0D%0A%0D%0A%0D%0APost-translational+modification+(PTM)+is+one+of+the+important+mechanisms+in%0D%0Aregulating+protein+function.+Post-translational+modifications+refer+to+the+addition+of%0D%0Acovalent+and+enzymatic+protein+modifications+in+protein+biosynthesis%2C+which+play+a%0D%0Acrucial+role+in+modifying+protein+function+and+regulating+gene+expression.+One+of%0D%0Athe+post-translational+modifications+is+glycosylation%2C+which+involves+adding+sugar%0D%0Agroups+to+protein+structures.+Glycosylation+has+been+associated+with+several%0D%0Adiseases+including+diabetes%2C+cancer%2C+and+Alzheimer's.+Therefore%2C+it+is+important+to%0D%0Aanticipate+glycosylation+by+predicting+it.%0D%0AThe+current+issue+in+glycosylation+prediction+still+relies+on+manual+laboratory%0D%0Atechniques%2C+resulting+in+slow+prediction+processes+and+requiring+expensive%0D%0Alaboratory+equipment.+To+address+this%2C+a+machine+learning+approach+is+needed+so%0D%0Athat+predictions+can+be+made+faster+and+at+a+lower+cost.%0D%0AThe+data+used+in+this+study+are+PTM+glycosylation-N%2C+glycosylation-O%2C+and%0D%0Aglycosylation-C+data+obtained+from+the+publicly+accessible+UniProt+website.+This%0D%0Aresearch+aims+to+improve+the+accuracy+of+classification+of+post-translational%0D%0Amodifications+glycosylation-N%2C+glycosylation-O%2C+and+glycosylation-C+by%0D%0Acombining+5+feature+extractions+and+using+the+Extreme+Gradient+Boosting%0D%0A(XGBoost)+algorithm.%0D%0AFeature+extraction+consists+of%3A+AAIndex%2C+Hydrophobicity%2C+SABLE%2C+CTD%2C+and%0D%0APseAAC.+Feature+selection+is+performed+using+the+MRMR+approach.+Each+feature%0D%0Acontributes+to+improving+glycosylation+prediction.+The+AAIndex+feature+contributes%0D%0Athe+most+to+the+overall+improvement+in+glycosylation+prediction+by+24%25.%0D%0AMeanwhile%2C+the+SABLE+feature+contributes+the+most+to+the+improvement+in%0D%0Aglycosylation-O+prediction+by+44%25.+The+Hydrophobicity+and+PseAAC+features%0D%0Acontribute+27%25+each+to+the+improvement+of+C-glycosylation+prediction+accuracy.%0D%0A%0D%0Avi%0D%0A%0D%0AThe+results+of+this+study+show+the+performance+of+predicting+post-translational%0D%0Amodifications+of+glycosylation-N%2C+glycosylation-O%2C+and+glycosylation-C%2C+with+each%0D%0Ahaving+an+accuracy+value+of+100%25.+The+approach+using+XGBoost+in+this+study%0D%0Asuccessfully+increased+the+accuracy+by+5%25+compared+to+previous+research.%0D%0AKeywords%3A+Post-translational+modification%2C+glycosylation%2C+site+sequence%2C+xgboost%2C%0D%0Aclassification&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM&rft.date=2024-04-18&rft.type=Disertasi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F85398%2F1%2FABSTRAK%2520-%2520Damayanti.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F85398%2F2%2FDISERTASI%2520Damayanti%2520%2520TNAPA%2520LAMPIRAN%2520-%2520Damayanti.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F85398%2F3%2FDisertasi%2520tanpa%2520Pembahasana%2520-%2520Damayanti.pdf&rft.identifier=++Damayanti+%2C+Damayanti++(2024)+IMPLEMENTASI+PENGGABUNGAN+EKSTRAKSI+FITUR+DALAM+MENINGKATKAN+KLASIFIKASI+POST-TRANSLATIONAL+MODIFICATION+(PTM)+GLIKOSILASI+PADA+PROTEIN+SEQUENCE+N%2C+O+DAN+C+DENGAN+METODE+EXTREME+GRADIENT+BOOSTING+(XGBOOST).++%5BDisertasi%5D+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F85398%2F