Chanin Nantasenamat - Concepedia

Author

Chanin Nantasenamat

Also Known As

Apilak Worachartcheewan, C Nantasenamat, C. Nantasenamat, CHANIN NANTASENAMAT, Chanin Nantasenamat, Isarankura-Na-Ayudhya, Chartchalerm, Naenna, Thanakorn, Nantasenamat, Chanin, Prasit Mandi

218

Publications

7.6K

Citations

H-Index

132

Concepts

All Affiliations

Mahidol University Chiang Mai University Srinakharinwirot University Chulabhorn Research Institute Chulabhorn Graduate Institute

About

Chanin Nantasenamat is an author at Mahidol University specializing in medicine, pharmacology, and natural sciences.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	31	56	3K
2	Natural Sciences	24	33	1.5K
3	Engineering	19	23	1.6K
4	Health Sciences	3	3	88
5	Public Health	3	3	88

Chanin Nantasenamat

118

Publications

5.8K

Citations

H-Index

Page 1

	Year	Citations
Synthesis, biological evaluation and molecular docking of novel chalcone–coumarin hybrids as anticancer and antimalarial agents Ratchanok Pingaew, Amporn Saekee, Prasit Mandi, European Journal of Medicinal Chemistry Medicinal ChemistryAntimalarial AgentsMedicinePharmacologyAnti-cancer Agent	2014	216
Advances in computational methods to predict the biological activity of compounds Chanin Nantasenamat, Chartchalerm Isarankura‐Na‐Ayudhya, Virapong Prachayasittikul Expert Opinion on Drug Discovery	2010	216
ACPred: A Computational Tool for the Prediction and Analysis of Anticancer Peptides Nalini Schaduangrat, Chanin Nantasenamat, Virapong Prachayasittikul, Molecules Drug TargetEngineeringAcps PossessPeptide EngineeringComputational Tool	2019	207
Copper complexes of pyridine derivatives with superoxide scavenging and antimicrobial activities Thummaruk Suksrichavalit, Supaluk Prachayasittikul, Chanin Nantasenamat, European Journal of Medicinal Chemistry Pyridine DerivativesInorganic ChemistryChemical EngineeringEngineeringSuperoxide Scavenging	2009	175
BERT4Bitter: a bidirectional encoder representations from transformers (BERT)-based model for improving the prediction of bitter peptides Phasit Charoenkwan, Chanin Nantasenamat, Md Mehedi Hasan, Bioinformatics	2021	173
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, Journal of Chemical Information and Modeling ImmunologyMonosodium GlutamateBioanalysisBiostatisticsBiomarker Discovery	2020	172
Hemopred: A Web Server for Predicting the Hemolytic Activity of Peptides Thet Su Win, Aijaz Ahmad Malik, Virapong Prachayasittikul, Future Medicinal Chemistry	2017	135
StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides Phasit Charoenkwan, Wararat Chiangjong, Chanin Nantasenamat, Briefings in Bioinformatics	2021	132
Meta-iAVP: A Sequence-Based Meta-Predictor for Improving the Prediction of Antiviral Peptides Using Effective Feature Representation Nalini Schaduangrat, Chanin Nantasenamat, Virapong Prachayasittikul, International Journal of Molecular Sciences EngineeringMachine LearningImmunologyAvp PredictionFeature Selection	2019	131
iBitter-SCM: Identification and characterization of bitter peptides using a scoring card method with propensity scores of dipeptides Phasit Charoenkwan, Janchai Yana, Nalini Schaduangrat, Genomics BiochemistryBitter PeptidesMedicineBioanalysisPeptide Library	2020	125

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