Presentation is loading. Please wait.

Presentation is loading. Please wait.

Dependence of DesII steady-state parameters V (●) and (○) on pH.

Published byLiani Lesmono Modified over 5 years ago

Similar presentations

Presentation on theme: "Dependence of DesII steady-state parameters V (●) and (○) on pH."— Presentation transcript:

1 Dependence of DesII steady-state parameters V (●) and (○) on pH.
Dependence of DesII steady-state parameters V (●) and (○) on pH. The ordinate denotes the base-10 logarithm of the steady-state parameter (P = V or ) normalized vs. the minimum value observed. The results for V are shifted one log unit along the ordinate for presentation purposes. Error bars denote ±1 SE of the observed parameter at the given pH following propagation through the logarithm. Fitted lines and the apparent pKa values were estimated by weighted nonlinear regression as described in SI Kinetic Analysis. Mark W. Ruszczycky et al. PNAS 2013;110:6: ©2013 by National Academy of Sciences

Download ppt "Dependence of DesII steady-state parameters V (●) and (○) on pH."

Similar presentations

1 Non-Linear and Smooth Regression Non-linear parametric models: There is a known functional form y=  x,  derived from known theory or from previous.

1 Non-Linear and Smooth Regression Non-linear parametric models: There is a known functional form y=  x,  derived from known theory or from previous.
Function Approximation

Function Approximation
CS 782 – Machine Learning Lecture 4 Linear Models for Classification  Probabilistic generative models  Probabilistic discriminative models.

CS 782 – Machine Learning Lecture 4 Linear Models for Classification  Probabilistic generative models  Probabilistic discriminative models.
Simple Linear Regression. The term linear regression implies that  Y|x is linearly related to x by the population regression equation  Y|x =  +  x.

Simple Linear Regression. The term linear regression implies that  Y|x is linearly related to x by the population regression equation  Y|x =  +  x.
FORECASTING. Minimum Mean Square Error Forecasting.

FORECASTING. Minimum Mean Square Error Forecasting.
Agresti/Franklin Statistics, 1 of 88  Section 11.4 What Do We Learn from How the Data Vary Around the Regression Line?

Agresti/Franklin Statistics, 1 of 88  Section 11.4 What Do We Learn from How the Data Vary Around the Regression Line?
Nonlinear regression Review of Linear Regression.

Nonlinear regression Review of Linear Regression.
Maths Study Centre CB04.03.331 Open 11am – 5pm Semester Weekdays https://www.uts.edu.au/future-students/science/student-experience/maths-study-

Maths Study Centre CB Open 11am – 5pm Semester Weekdays
Significance Analysis of Microarrays (SAM)

Significance Analysis of Microarrays (SAM)
by Mark S. Hertzberg, Sandra L. Facey, and Philip J. Hogg

by Mark S. Hertzberg, Sandra L. Facey, and Philip J. Hogg
Interaction between the anti-EGFR Goldbody and sEGFR at the molecular level. Interaction between the anti-EGFR Goldbody and sEGFR at the molecular level.

Interaction between the anti-EGFR Goldbody and sEGFR at the molecular level. Interaction between the anti-EGFR Goldbody and sEGFR at the molecular level.
SPR characterization of the specific interaction between AuNP–Pep1 and HEWL. (A) Binding of AuNPs functionalized with 20 Pep1 and different numbers of.

SPR characterization of the specific interaction between AuNP–Pep1 and HEWL. (A) Binding of AuNPs functionalized with 20 Pep1 and different numbers of.
Comparison (R) of the mean observed to expected dinucleotide distribution for (A) genes with MAE vs. Comparison (R) of the mean observed to expected dinucleotide.

Comparison (R) of the mean observed to expected dinucleotide distribution for (A) genes with MAE vs. Comparison (R) of the mean observed to expected dinucleotide.
Unit cell lengths (dL and aH) for increasing monovalent salt concentrations. Unit cell lengths (dL and aH) for increasing monovalent salt concentrations.

Unit cell lengths (dL and aH) for increasing monovalent salt concentrations. Unit cell lengths (dL and aH) for increasing monovalent salt concentrations.
Chronic stress accelerated DSS-induced colitis.

Chronic stress accelerated DSS-induced colitis.
Balancing selection characterizes both MAE genes and cell type-specific genes (expressed in either nsc or asl but not in both). Balancing selection characterizes.

Balancing selection characterizes both MAE genes and cell type-specific genes (expressed in either nsc or asl but not in both). Balancing selection characterizes.
دانشگاه صنعتی امیرکبیر Instructor : Saeed Shiry

دانشگاه صنعتی امیرکبیر Instructor : Saeed Shiry
Photographs and performance parameters of the OPD and OLED arrays.

Photographs and performance parameters of the OPD and OLED arrays.
The mechanisms that regulate systemic resilience in humans and animals

The mechanisms that regulate systemic resilience in humans and animals
Schematic representation of possible effects of different factors on systemic resilience. Schematic representation of possible effects of different factors.

Schematic representation of possible effects of different factors on systemic resilience. Schematic representation of possible effects of different factors.

Similar presentations

Ads by Google