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Rukman Hertadi
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2020 – today
- 2024
- [j5]Meredita Susanty, Muhammad K. N. Mursalim, Rukman Hertadi, Ayu Purwarianti, Tati L. R. Mengko:
Leveraging protein language model embeddings and logistic regression for efficient and accurate in-silico acidophilic proteins classification. Comput. Biol. Chem. 112: 108163 (2024) - [j4]Meredita Susanty
, Muhammad K. N. Mursalim
, Rukman Hertadi, Ayu Purwarianti, Tati Latifah Rajab Mengko
:
Classifying alkaliphilic proteins using embeddings from protein language model. Comput. Biol. Medicine 173: 108385 (2024) - 2023
- [j3]Muhammad K. N. Mursalim
, Tati Rajab Mengko
, Rukman Hertadi, Ayu Purwarianti, Meredita Susanty
:
EmbedCaps-DBP: Predicting DNA-Binding Proteins Using Protein Sequence Embedding and Capsule Network. IEEE Access 11: 121256-121268 (2023) - [j2]Muhammad K. N. Mursalim
, Tati Latifah Rajab Mengko
, Rukman Hertadi
, Ayu Purwarianti, Meredita Susanty
:
BiCaps-DBP: Predicting DNA-binding proteins from protein sequences using Bi-LSTM and a 1D-capsule network. Comput. Biol. Medicine 163: 107241 (2023) - 2020
- [c1]Alif Kurniawan, Wisnu Jatmiko, Rukman Hertadi, Novian Habibie:
Prediction of Protein Tertiary Structure Using Pre-Trained Self-Supervised Learning Based on Transformer. IWBIS 2020: 73-80
2010 – 2019
- 2018
- [j1]Muhammad Arba
, Andry Nur-Hidayat, Ruslin
, Muhammad Yusuf
, Sumarlin, Rukman Hertadi
, Setyanto Tri Wahyudi
, Slamet Ibrahim Surantaadmaja, Daryono Hadi Tjahjono
:
Molecular modeling on porphyrin derivatives as β5 subunit inhibitor of 20S proteasome. Comput. Biol. Chem. 74: 230-238 (2018)
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last updated on 2024-08-29 20:53 CEST by the dblp team
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