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Showing 9 out of a total of 9 results for community: School of Engineering Sciences.
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A Molecular Modeling Approach to Identify Potential Antileishmanial Compounds Against the Cell Division Cycle (cdc)-2-Related Kinase 12 (CRK12) Receptor of Leishmania donovani
Broni, E.
;
Kwofie, S.K.
;
Kwofie, S.K.
;
Miller III, W.A.
;
Wilson, M.D.
(
biomolecules
,
2021
)
Molecular docking and dynamics simulations studies of OmpATb identifies four potential novel natural product-derived anti-Mycobacterium tuberculosis compounds
Kwofie, S.K.
;
Adobor, C.
;
Quansah, E.
;
Bentil, J.
;
Ampadu, M.
;
Miller, W.A.
;
Wilson, M.D.
(
Computers in Biology and Medicine
,
2020-05-03
)
Prediction of antischistosomal small molecules using machine learning in the era of big data
Kwofie, S.K.
;
Agyenkwa‑Mawuli, K.
;
Broni, E.
;
Miller III, W.A.
;
Wilson, M.D.
(
Springer
,
2021
)
A Molecular Modeling Approach to Identify Potential Antileishmanial Compounds Against the Cell Division Cycle (cdc)-2-Related Kinase 12 (CRK12) Receptor of Leishmania donovani
Broni, E.
;
Kwofie, S.K.
;
Asiedu, S.O.
;
Miller III, W.A.
;
Wilson, M.D.
(
MDPI
,
2021
)
Computer-aided identification of potential inhibitors against Necator americanus glutathione S-transferase 3
Kwofie, S.K.
;
Asiedu, S.O.
;
Koranteng, R.
;
Quarshie, E.
;
Tiburu, E.K.
;
Miller III, M.A.
;
Adinortey, M.B.
;
Wilson, M.D.
(
Elsevier
,
2022
)
Pharmacophore-Guided Identification of Natural Products as Potential Inhibitors of Mycobacterium ulcerans Cystathionine γ-synthase MetB
Kwofie, S.K.
;
Dolling, N.N.O.
;
Donkoh, E.
;
Laryea, G.M.
;
Mosi, L.
;
Miller III, W.A.
;
Adinortey, M.B.
;
Wilson, M.D.
(
MDPI
,
2021
)
Development of a proteochemometric-based support vector machine model for predicting bioactive molecules of tubulin receptors
Agyapong, O.
;
Miller, W.A.
;
Wilson, M.D.
;
Kwofie, S.K.
(
Springer
,
2021
)
Cheminformatics-Based Identification of Potential Novel Anti-SARS-CoV-2 Natural Compounds of African Origin
Kwofie, S.K.
;
Broni, E.
;
Asiedu, S.O.
;
Kwarko, G.B.
;
Dankwa, B.
;
Enninful, K.S.
;
Tiburu, E.K.
;
Wilson, M.D.
(
MDPI
,
2021
)
Density Functional Theory-Based Studies Predict Carbon Nanotubes as Effective Mycolactone Inhibitors
Suleiman, N.
;
Yaya, A.
;
Wilson, M.D.
;
Aryee, S.
;
Kwofie, S.K.
(
MDPI
,
2022-07
)
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Author
Kwofie, S.K. (9)
Wilson, M.D. (9)
Broni, E. (4)
Miller III, W.A. (4)
Asiedu, S.O. (3)
Adinortey, M.B. (2)
Miller, W.A. (2)
Tiburu, E.K. (2)
Adobor, C. (1)
Agyapong, O. (1)
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Subject
molecular docking (3)
CRK12 (2)
Leishmaniasis (2)
leishmanicide (2)
Machine learning (2)
Molecular docking (2)
Molecular dynamics (2)
molecular dynamics (2)
Natural products (2)
natural products (2)
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Date Issued
2021 (6)
2022 (2)
2020 (1)
Has File(s)
Yes (7)
No (2)