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Impressive expansion of the computa

Impressive expansion of the computational power of computers is at the core of advances in determining the threedimensional structures of proteins. For example, vacuum
tube computers running on programs punched on cards
were used to solve the first protein structures on the basis
of x-ray crystallography. In the future, researchers aim to
predict the structures of proteins only on the basis of
amino acid sequences deduced from gene sequences. This
computationally challenging problem requires supercomputers or large clusters of computers working in synchrony. Currently, only the structures of very small
domains containing 100 residues or fewer can be predicted
at a low resolution. However, continued developments in
computing and models of protein folding, combined with
large-scale efforts to solve the structures of all protein motifs by x-ray crystallography, will allow the prediction of
the structures of larger proteins. With an exponentially expanding database of motifs, domains, and proteins, scientists will be able to identify the motifs in an unknown
protein, match the motif to the sequence, and use this head
start in predicting the three-dimensional structure of the
entire protein.
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Hasil (Bahasa Indonesia) 1: [Salinan]
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Impressive expansion of the computational power of computers is at the core of advances in determining the threedimensional structures of proteins. For example, vacuumtube computers running on programs punched on cardswere used to solve the first protein structures on the basisof x-ray crystallography. In the future, researchers aim topredict the structures of proteins only on the basis ofamino acid sequences deduced from gene sequences. Thiscomputationally challenging problem requires supercomputers or large clusters of computers working in synchrony. Currently, only the structures of very smalldomains containing 100 residues or fewer can be predictedat a low resolution. However, continued developments incomputing and models of protein folding, combined withlarge-scale efforts to solve the structures of all protein motifs by x-ray crystallography, will allow the prediction ofthe structures of larger proteins. With an exponentially expanding database of motifs, domains, and proteins, scientists will be able to identify the motifs in an unknownprotein, match the motif to the sequence, and use this headstart in predicting the three-dimensional structure of theentire protein.
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Hasil (Bahasa Indonesia) 2:[Salinan]
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Ekspansi mengesankan dari kekuatan komputasi dari komputer merupakan inti dari kemajuan dalam menentukan struktur tiga dimensi protein. Misalnya, vakum
komputer tabung yang berjalan pada program menekan pada kartu
yang digunakan untuk memecahkan struktur protein pertama atas dasar
kristalografi sinar-x. Di masa depan, peneliti bertujuan untuk
memprediksi struktur protein hanya atas dasar
urutan asam amino disimpulkan dari urutan gen. Ini
masalah komputasi menantang membutuhkan superkomputer atau kelompok besar komputer bekerja secara sinkron. Saat ini, hanya struktur yang sangat kecil
domain yang mengandung 100 residu atau kurang dapat diprediksi
pada resolusi rendah. Namun, perkembangan berlanjut di
komputasi dan model lipat protein, dikombinasikan dengan
upaya skala besar untuk memecahkan struktur semua motif protein dengan kristalografi sinar-x, akan memungkinkan prediksi
struktur protein yang lebih besar. Dengan database secara eksponensial memperluas motif, domain, dan protein, ilmuwan akan dapat mengidentifikasi motif dalam diketahui
protein, sesuai dengan motif untuk urutan, dan menggunakan kepala ini
mulai dalam memprediksi struktur tiga dimensi dari
seluruh protein.
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