摘要:
A reactor 10 defines a chamber 11 in which are disposed an upper electrode 12 and a lower workpiece electrode 13. The upper electrode is connected to a R.F. supply whilst the lower electrode is connected to a stress control unit 14. The stress control unit is used to adjust or maintain the effective resistance of the connection between the workpiece electrode 13 and ground.
摘要:
We describe methods for identifying aggregation-prone regions in structured—that is folded—proteins. Embodiments of the method use a local propensity for aggregation (Ai) at an amino acid position, this being determined by a combination of a hydrophobicity value, an α-helix propensity value, a β-sheet propensity value, a charge value and a pattern value for the amino acid position. This is combined with local structural stability values for the amino acid positions to identify one or more regions in the amino acid sequence which, in the folded protein, are predicted to promote aggregation.
摘要:
A prediction method for predicting the effect of an amino acid modification on the rate of aggregation (solubility) of a reference polypeptide comprising: calculating the difference in hydrophobicity (ΔHydr) between the reference polypeptide and a modified polypeptide, calculating the difference in β-sheet propensity (ΔΔGcoil-α+ΔΔGβ-coil) between the reference polypeptide and modified polypeptide, calculating the difference in charge (Δ Charge) between the reference polypeptide and modified polypeptide, and calculating: [x*ΔHydr]+[y*(ΔΔGcoil-α+ΔΔGβ-coil)]−[z*Δ Charge], wherein x, y and z are scaling factors.
摘要:
A prediction method for predicting the effect of an amino acid modification on the rate of aggregation (solubility) of a reference polypeptide comprising: calculating the difference in hydrophobicity (ΔHydr) between the reference polypeptide and a modified polypeptide, calculating the difference in β-sheet propensity (ΔΔGcoil-α+ΔΔGβ-coil) between the reference polypeptide and modified polypeptide, calculating the difference in charge (Δ Charge) between the reference polypeptide and modified polypeptide, and calculating: [x*ΔHydr]+[y*(ΔΔGcoil-α+ΔΔGβ-coil)]−[z*Δ Charge], wherein x, y and z are scaling factors.
摘要:
A prediction method for predicting the effect of an amino acid modification on the rate of aggregation (solubility) of a reference polypeptide comprising: calculating the difference in hydrophobicity (ΔHydr) between the reference polypeptide and a modified polypeptide, calculating the difference in β-sheet propensity (ΔΔGcoil-α+ΔΔGβ-coil) between the reference polypeptide and modified polypeptide, calculating the difference in charge (Δ Charge) between the reference polypeptide and modified polypeptide, and calculating: [x*ΔHydr]+[y*(ΔΔGcoil-α+ΔΔGβ-coil)]−[z*Δ Charge], wherein x, y and z are scaling factors.
摘要:
An amyloid fibril substantially free of other protein is disclosed. Also disclosed are processes for preparing the fibril, and methods and uses of the fibril particularly in connection with treating diabetes, blood clotting disorders, cancer and/or heart disease.
摘要:
A method of determining aggregation rate data predicting an aggregation rate of a polypeptide defined by an amino acid sequence, the method comprising determining a hydrophobicity value, a charge value, and at least one shape propensity value for said sequence; identifying one or more aggregation-influencing patterns within said sequence; determining a pattern value for the sequence responsive to said identifying; and determining said aggregation rate data by determining a weighted combination of said hydrophobicity value, said charge value, said at least one shape propensity value, said pattern value and at least one factor extrinsic to said amino acid sequence.
摘要:
A prediction method for predicting the effect of an amino acid modification on the rate of aggregation (solubility) of a reference polypeptide comprising: calculating the difference in hydrophobicity (ΔHydr) between the reference polypeptide and a modified polypeptide, calculating the difference in β-sheet propensity (ΔΔGcoil-α+ΔΔGβ-coil) between the reference polypeptide and modified polypeptide, calculating the difference in charge (ΔCharge) between the reference polypeptide and modified polypeptide, and calculating: [x*ΔHydr]+[y*(ΔΔGcoil-α+ΔΔGβ-coil)]−[z*ΔCharge], wherein x, y and z are scaling factors.
摘要:
A prediction method for predicting the effect of an amino acid modification on the rate of aggregation (solubility) of a reference polypeptide comprising: calculating the difference in hydrophobicity (ΔHydr) between the reference polypeptide and a modified polypeptide, calculating the difference in β-sheet propensity (ΔΔGcoil-α+ΔΔGβ-coil) between the reference polypeptide and modified polypeptide, calculating the difference in charge (Δ Charge) between the reference polypeptide and modified polypeptide, and calculating: [x* ΔHydr]+[y*(ΔΔGcoil-α+ΔΔGβ-coil)]−[z*Δ Charge], wherein x, y and z are scaling factors.
摘要:
A prediction method for predicting the effect of an amino acid modification on the rate of aggregation (solubility) of a reference polypeptide comprising: calculating the difference in hydrophobicity (ΔHydr) between the reference polypeptide and a modified polypeptide, calculating the difference in β-sheet propensity (ΔΔGcoil-α+ΔΔGβ-coil) between the reference polypeptide and modified polypeptide, calculating the difference in charge (Δ Charge) between the reference polypeptide and modified polypeptide, and calculating: [x*ΔHydr]+[y*(ΔΔGcoil-α+ΔΔGβ-coil)]−[z*ΔCharge], wherein x, y and z are scaling factors.