Modeling of chemical inhibition from amyloid protein aggregation kinetics

Table 4 Parametric estimates and confidence intervals (α = 0.05) from the equation ( 1) applied to the aggregation of Aβ42-amyloid protein increased data influenced by apigenin, ectoine, hidroxyectoine and taiwaniaflavone concentrations

Parameters		Apigenin	Ectoine	Hidroxyectoine	Taiwaniaflavone	Trehalose
Aggregation model	X _m (AU)	17.43±0.50	(5.07±0.23) × 10⁻³	(4.96±0.24) × 10⁻³	16.55±0.55	10.49±0.28
	v _m (AU h⁻¹ or AU d⁻¹)	16.10±1.49	(0.24±0.05) × 10⁻³	(0.30±0.08) × 10⁻³	17.01±2.09	3.31±0.33
	λ (h or d)	0.25±0.03	11.60±2.26	13.50±2.31	0.27±0.06	5.76±0.14
Effect on X _m	K _x	0.41±0.06	1.00±0.99	1.00±0.90	0.78±0.05	0.44±0.03
	m _x (mM or μM)	6.52±1.93	11.82±11.03	66.70±65.78	2.32±0.38	51.58±7.27
	a _x	0.91±0.25	0.19±0.13	0.43±0.43	0.98±0.16	1.36±0.31
Effect on v _m	K _v	0.38±0.12	0.83±0.06	0.86±0.16	1.14±0.60	0.53±0.08
	m _v (mM or μM)	9.29±5.35	0.33±0.32	1.35 (NS)	1.88±1.73	33.22±17.26
	a _v	1.35±1.13	0.36±0.14	0.34±0.20	0.40±0.21	0.66±0.33
Effect on λ	K _λ	1.76±0.70	NS	NS	1.27±1.13	NS
	m _λ (mM or μM)	2.16±0.29	NS	NS	2.53±1.45	NS
	a _λ	2.39±0.99	NS	NS	2.33±2.31	NS
	EC _{50, τ} (mM or μM)	2.45	0.96	2.20	0.91	21.43
	τ (h or d)	0.75	17.31	20.52	0.65	6.54
	p-value	<0.001	<0.001	<0.001	<0.001	<0.001
	B _f	0.99	1.04	1.00	1.02	1.03
	A _f	1.06	1.09	1.18	1.11	1.08
	R ² _adj	0.995	0.988	0.984	0.990	0.995

The case of apomyoglobin affected by trehalose is also shown. Statistical values of adjusted coefficient of multiple determination (R ² _adj) and p-values from Fisher’s F-test (α = 0.05). B _f and A _f are the bias and accuracy factor, respectively. NS: non-significant.

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