Fry-Nartey, L.N.; Akafia, C.; Nkonu, U.S.; Baiden, S.B.; Dorvi, I.N.; Agyenkwa-Mawuli, K.; Agyapong, O.; Hayford, C.F.; Wilson, M.D.; Miller, W.A., III;
et al. AICpred: Machine Learning-Based Prediction of Potential Anti-Inflammatory Compounds Targeting TLR4-MyD88 Binding Mechanism. Information 2025, 16, 34.
https://doi.org/10.3390/info16010034
AMA Style
Fry-Nartey LN, Akafia C, Nkonu US, Baiden SB, Dorvi IN, Agyenkwa-Mawuli K, Agyapong O, Hayford CF, Wilson MD, Miller WA III,
et al. AICpred: Machine Learning-Based Prediction of Potential Anti-Inflammatory Compounds Targeting TLR4-MyD88 Binding Mechanism. Information. 2025; 16(1):34.
https://doi.org/10.3390/info16010034
Chicago/Turabian Style
Fry-Nartey, Lucindah N., Cyril Akafia, Ursula S. Nkonu, Spencer B. Baiden, Ignatus Nunana Dorvi, Kwasi Agyenkwa-Mawuli, Odame Agyapong, Claude Fiifi Hayford, Michael D. Wilson, Whelton A. Miller, III,
and et al. 2025. "AICpred: Machine Learning-Based Prediction of Potential Anti-Inflammatory Compounds Targeting TLR4-MyD88 Binding Mechanism" Information 16, no. 1: 34.
https://doi.org/10.3390/info16010034
APA Style
Fry-Nartey, L. N., Akafia, C., Nkonu, U. S., Baiden, S. B., Dorvi, I. N., Agyenkwa-Mawuli, K., Agyapong, O., Hayford, C. F., Wilson, M. D., Miller, W. A., III, & Kwofie, S. K.
(2025). AICpred: Machine Learning-Based Prediction of Potential Anti-Inflammatory Compounds Targeting TLR4-MyD88 Binding Mechanism. Information, 16(1), 34.
https://doi.org/10.3390/info16010034
