Chanin Nantasenamat

According to our database, Chanin Nantasenamat authored at least 16 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

PSRTTCA: A new approach for improving the prediction and characterization of tumor T cell antigens using propensity score representation learning.

Phasit Charoenkwan, Chonlatip Pipattanaboon, Chanin Nantasenamat, Md. Mehedi Hasan, Mohammad Ali Moni, Pietro Lio', Watshara Shoombuatong

Comput. Biol. Medicine, 2023

2021

StackHCV: a web-based integrative machine-learning framework for large-scale identification of hepatitis C virus NS5B inhibitors.

Aijaz Ahmad Malik, Warot Chotpatiwetchkul, Chuleeporn Phanus-umporn, Chanin Nantasenamat, Phasit Charoenkwan, Watshara Shoombuatong

J. Comput. Aided Mol. Des., 2021

BERT4Bitter: a bidirectional encoder representations from transformers (BERT)-based model for improving the prediction of bitter peptides.

Phasit Charoenkwan, Chanin Nantasenamat, Md. Mehedi Hasan, Balachandran Manavalan, Watshara Shoombuatong

Bioinform., 2021

StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides.

Phasit Charoenkwan, Wararat Chiangjong, Chanin Nantasenamat, Md. Mehedi Hasan, Balachandran Manavalan, Watshara Shoombuatong

Briefings Bioinform., 2021

2020

iUmami-SCM: A Novel Sequence-Based Predictor for Prediction and Analysis of Umami Peptides Using a Scoring Card Method with Propensity Scores of Dipeptides.

Phasit Charoenkwan, Janchai Yana, Chanin Nantasenamat, Md. Mehedi Hasan, Watshara Shoombuatong

J. Chem. Inf. Model., 2020

Towards reproducible computational drug discovery.

Nalini Schaduangrat, Samuel Lampa, Saw Simeon, Matthew Paul Gleeson, Ola Spjuth, Chanin Nantasenamat

J. Cheminformatics, 2020

HCVpred : A web server for predicting the bioactivity of hepatitis C virus NS5B inhibitors.

Aijaz Ahmad Malik, Chuleeporn Phanus-umporn, Nalini Schaduangrat, Watshara Shoombuatong, Chartchalerm Isarankura-Na-Ayudhya, Chanin Nantasenamat

J. Comput. Chem., 2020

Meta-iPVP: a sequence-based meta-predictor for improving the prediction of phage virion proteins using effective feature representation.

Phasit Charoenkwan, Chanin Nantasenamat, Md. Mehedi Hasan, Watshara Shoombuatong

J. Comput. Aided Mol. Des., 2020

2019

Correction to: ThalPred: a web-based prediction tool for discriminating thalassemia trait and ron deficiency anemia.

Vishuda Laengsri, Watshara Shoombuatong, W. Adirojananon, Chanin Nantasenamat, Virapong Prachayasittikul, Pornlada Nuchnoi

BMC Medical Informatics Decis. Mak., 2019

THPep: A machine learning-based approach for predicting tumor homing peptides.

Watshara Shoombuatong, Nalini Schaduangrat, Reny Pratiwi, Chanin Nantasenamat

Comput. Biol. Chem., 2019

HIVCoR: A sequence-based tool for predicting HIV-1 CRF01_AE coreceptor usage.

Sayamon Hongjaisee, Chanin Nantasenamat, Tanawan Samleerat Carraway, Watshara Shoombuatong

Comput. Biol. Chem., 2019

2016

osFP: a web server for predicting the oligomeric states of fluorescent proteins.

Saw Simeon, Watshara Shoombuatong, Nuttapat Anuwongcharoen, Likit Preeyanon, Virapong Prachayasittikul, Jarl E. S. Wikberg, Chanin Nantasenamat

J. Cheminformatics, 2016

2015

Proteochemometric model for predicting the inhibition of penicillin-binding proteins.

Sunanta Nabu, Chanin Nantasenamat, Wiwat Owasirikul, Ratana Lawung, Chartchalerm Isarankura-Na-Ayudhya, Maris Lapins, Jarl E. S. Wikberg, Virapong Prachayasittikul

J. Comput. Aided Mol. Des., 2015

2014

Illuminating the origins of spectral properties of green fluorescent proteins via proteochemometric and molecular modeling.

Chanin Nantasenamat, Saw Simeon, Wiwat Owasirikul, Napat Songtawee, Maris Lapins, Virapong Prachayasittikul, Jarl E. S. Wikberg

J. Comput. Chem., 2014

2007

Prediction of GFP spectral properties using artificial neural network.

Chanin Nantasenamat, Chartchalerm Isarankura-Na-Ayudhya, Natta Tansila, Thanakorn Naenna, Virapong Prachayasittikul

J. Comput. Chem., 2007

2005

Quantitative prediction of imprinting factor of molecularly imprinted polymers by artificial neural network.

Chanin Nantasenamat, Thanakorn Naenna, Chartchalerm Isarankura-Na-Ayudhya, Virapong Prachayasittikul

J. Comput. Aided Mol. Des., 2005