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Nalini Schaduangrat

Showing results (1-10 of 67) with videos related to

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EXCLI Journal|September 8, 2018
Unraveling the bioactivity of anticancer peptides as deduced from machine learningWatshara Shoombuatong, Nalini Schaduangrat, Chanin Nantasenamat
EXCLI Journal|October 2, 2023
Empirical comparison and analysis of machine learning-based approaches for druggable protein identificationWatshara Shoombuatong, Nalini Schaduangrat, Jaru Nikom
EXCLI Journal|May 29, 2018
Proteomic and bioinformatic discovery of biomarkers for diabetic nephropathyChadinee Thippakorn, Nalini Schaduangrat, Chanin Nantasenamat
EXCLI Journal|September 8, 2018
Towards understanding aromatase inhibitory activity via QSAR modelingWatshara Shoombuatong, Nalini Schaduangrat, Chanin Nantasenamat
Scientific Reports|December 27, 2023
StackER: a novel SMILES-based stacked approach for the accelerated and efficient discovery of ERα and ERβ antagonistsNalini Schaduangrat, Nutta Homdee, Watshara Shoombuatong
BMC Bioinformatics|July 28, 2023
StackTTCA: a stacking ensemble learning-based framework for accurate and high-throughput identification of tumor T cell antigensPhasit Charoenkwan, Nalini Schaduangrat, Watshara Shoombuatong
Peerj|July 21, 2021
ERpred: a web server for the prediction of subtype-specific estrogen receptor antagonistsNalini Schaduangrat, Aijaz Ahmad Malik, Chanin Nantasenamat
Methods (San Diego, Calif.)|December 21, 2024
Deepstack-ACE: A deep stacking-based ensemble learning framework for the accelerated discovery of ACE inhibitory peptidesPhasit Charoenkwan, Pramote Chumnanpuen, Nalini Schaduangrat, et al.
IEEE Transactions on Computational Biology and Bioinformatics|August 29, 2025
DeepHDAC3i: Leveraging an Interpretable Deep Learning-based Framework for the Accelerated Discovery of HDAC3 InhibitorsSaeed Ahmed, Nalini Schaduangrat, Ittipat Meewan, et al.
EXCLI Journal|February 1, 2018
Data mining for the identification of metabolic syndrome statusApilak Worachartcheewan, Nalini Schaduangrat, Virapong Prachayasittikul, et al.
Pageof 7

Showing results (1-10 of 67) with videos related to

Sort By:
Pageof 7
EXCLI Journal|September 8, 2018
Unraveling the bioactivity of anticancer peptides as deduced from machine learningWatshara Shoombuatong, Nalini Schaduangrat, Chanin Nantasenamat
EXCLI Journal|October 2, 2023
Empirical comparison and analysis of machine learning-based approaches for druggable protein identificationWatshara Shoombuatong, Nalini Schaduangrat, Jaru Nikom
EXCLI Journal|May 29, 2018
Proteomic and bioinformatic discovery of biomarkers for diabetic nephropathyChadinee Thippakorn, Nalini Schaduangrat, Chanin Nantasenamat
EXCLI Journal|September 8, 2018
Towards understanding aromatase inhibitory activity via QSAR modelingWatshara Shoombuatong, Nalini Schaduangrat, Chanin Nantasenamat
Scientific Reports|December 27, 2023
StackER: a novel SMILES-based stacked approach for the accelerated and efficient discovery of ERα and ERβ antagonistsNalini Schaduangrat, Nutta Homdee, Watshara Shoombuatong
BMC Bioinformatics|July 28, 2023
StackTTCA: a stacking ensemble learning-based framework for accurate and high-throughput identification of tumor T cell antigensPhasit Charoenkwan, Nalini Schaduangrat, Watshara Shoombuatong
Peerj|July 21, 2021
ERpred: a web server for the prediction of subtype-specific estrogen receptor antagonistsNalini Schaduangrat, Aijaz Ahmad Malik, Chanin Nantasenamat
Methods (San Diego, Calif.)|December 21, 2024
Deepstack-ACE: A deep stacking-based ensemble learning framework for the accelerated discovery of ACE inhibitory peptidesPhasit Charoenkwan, Pramote Chumnanpuen, Nalini Schaduangrat, et al.
IEEE Transactions on Computational Biology and Bioinformatics|August 29, 2025
DeepHDAC3i: Leveraging an Interpretable Deep Learning-based Framework for the Accelerated Discovery of HDAC3 InhibitorsSaeed Ahmed, Nalini Schaduangrat, Ittipat Meewan, et al.
EXCLI Journal|February 1, 2018
Data mining for the identification of metabolic syndrome statusApilak Worachartcheewan, Nalini Schaduangrat, Virapong Prachayasittikul, et al.
Pageof 7