The course of Isothermal Titration Calorimetry data analysis

Isothermal Titration Calorimetry (ITC) is widely considered the gold standard technique for the direct determination of binding thermodynamics.
Nowadays, getting kinetic information directly from the thermogram is also possible thanks to the method KinITC implemented in AFFINImeter. Besides KinITC, AFFINImeter offers a number of advanced analytical tools to take the most out of ITC data.

Aiming to show researchers how to make use of these tools, we have prepared a course on ITC data analysis, consisting of a series of video tutorials imparted by Eva Muñoz (Senior Scientist at AFFINImeter) and that we will release in three parts.

The following picture shows the scheme of the course:

The first part, we present three video tutorials dedicated to the analysis of ITC data with KinITC and the multi-temperature tools. Here we are attaching the video tutorials.

  1. Introduction-KinITC automatic processing
  2. KinITC Manual process
  3. Multi-temperature analysis

In the following parts of this course, we will be focused on the design of two binding models for ITC curve fitting with AFFINImeter:

Una spin-off de la USC, AFFINImeter, seleccionada por Google para participar en el programa Campus Remote Mentoring.

El Campus Remote Mentoring de Google potencia el crecimiento de nuevas empresas con sesiones de mentorship personalizadas, networking y acceso a nuevos mercados.

AFFINImeter es una spin-off de la Universidad de Santiago de Compostela dedicada al desarrollo de software científico y metodologías para investigación química y farmacéutica en el campo de interacciones moleculares. Entre sus clientes se encuentran diversas farmacéuticas como Bayer, Roche o la filial farmacéutica de Mitsubishi además de prestigiosas universidades de Europa, Japón y Estados Unidos.

El pasado mes de marzo,  AFFINImeter fue seleccionada para participar en el exclusivo programa “Campus Remote Mentoring” de Google, una iniciativa orientada a irradiar la influencia  del campus de Google en Madrid para el resto de start up dentro del territorio español. El programa incluye una tutorización desde la sede de Google en Dublín, y se centra en mejorar aspectos relacionados con el Marketing on-line y la comunicación digital, con el fin de potenciar la internalización de la start up.

Paralelamente AFFINImeter ha sido seleccionada en el prestigioso programa de aceleración de ViaGalicia, promovido por el Consorcio de la Zona Franca y la Xunta de Galicia (a través de la Agencia Gallega de Innovación GAIN y la sociedad de capital-riesgo XesGalicia).

MicroCal User´s day in Madrid

The next April 19th will be taking place in Madrid the MicroCal user´s day. The event will be held at the Institute of Chemical Physics Rocasolano.

The basics and applications of the ITC -Isothermal titration Calorimetry and DSC -Differential scanning calorimetry technologies will be treated. It will be an excellent event with very interesting talks and nice place for catch up of these applications.

We are pleased to announce that Dr Juan Sabín (Co-founder & Product Designer) will be giving a presentation about AFFINImeter, the software for Isothermal Titration Calorimetry data analysis.

Additionally, Dr Raúl Pacheco application specialist from Malvern Instruments, Dr Margarita Menendez from the Institute of Chemical Physics Rocasolano and Dr Javier Murciano from the University of Granada will also attend the event.

The Microcal user´s day has been organised by Malvern Instruments, CSIC-Spanish National Research Council, Institute of Chemical Physics Rocasolano and Iesmat.

For more information:

Microcal user´s day Madrid.

We will be attending the Fragments 2017 – 6th RSC-BMCS Fragment-based Drug Discovery meeting

 

On March 5th to 7th we will be attending the Fragments 2017 – 6th RSC-BMCS Fragment-based Drug Discovery meeting

AFFINImeter will be attending the congress and will have a stand and a poster for the duration of the congress

We will be there sharing ideas on new applications and challenges on Isothermal Titration Calorimetry (ITC) experiments and data analysis. We will be pleased to talk to you. Contact us.

You won´t miss this event

 

We want to thank Xunta de Galicia, IGAPE and Fondo Europeo de desenvolvemento rexional for giving us this opportunity.

AFFINImeter has been certified to run on Windows 10

AFFINImeter is supported by Software 4 Science Development on the following editions of Internet Explorer –  Explorer 11 and Microsoft Edge and is supported on all currently supported servicing branches of Windows 10.
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* AFFINImeter already runs in Linux and Mac OS X ® operating systems, using latest versions of Firefox ® and/or Chrome ® browsers. Others browsers may be supported.
Copyright:
All products, logos and company names are trademarks™ or registered® trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.

Checking the quality of the fittings in AFFINImeter

As important as obtaining a set of parameters corresponding to a model able to describe the experimental data is to ensure, with a certain statistical probability, that the analysis is correct. Often, this is a complicated task. AFFINImeter´s philosophy is to make things simple. We have developed a number of mathematical and statistical tools that are useful to assess how robust your analysis is.

The next paragraphs will explain the meaning of some parameters implemented in AFFINImeter and how to interpret them in terms of the quality of the analysis.

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What is the meaning of Standard errors in AFFINImeter?

Standard errors come from the variance-covariance matrix obtained from the partial derivatives of the objective function with respect to the fitting parameters. These are the errors commonly determined in nonlinear fitting algorithms based on derivatives, such as the Levenberg-Marquardt method that we employ in combination with the Simulated Annealing method to optimize the efficiency of the minimization process.

What is the meaning of Statistical errors in AFFINImeter?

Statistical errors are determined from the standard deviation of the parameters obtained by repeating the fitting as many times as experimental points are available in the target data series, each time ignoring one point in these extra fittings. For instance, in a binding isotherm consisting of 30 points, all of them are employed in the main minimization process (weighted by their corresponding uncertainty). The resulting parameters are used as seeds for 30 independent fittings (of 29 points each) where the data points are sequentially removed one at a time. In this case, AFFINImeter gets 30 independent solutions for each parameter (in addition to the one provided by the main fitting). The removal of the points that weight a lot in the fittings induces a significant change in the parameters that, in its turn, increases the standard deviation (the statistical error in AFFINImeter). This is the so-called  Jackknife method.

By default, the statistical uncertainties are activated in AFFINImeter but we do provide also the standard errors in order to have a useful alternative value for the uncertainty of the fitting parameters.

What is the meaning of Local Minima table in AFFINImeter?

Additional useful information to be considered in the resulting analysis with AFFINImeter is the local minima table. This table provides an estimation on how the results obtained depend on the initial values (seeds) of the fitting algorithm. AFFINImeter executes several minimizations runs (20 by default) for each analysis and it selects the values that provide the best fitting (lowest c2 value). A robust fitting is achieved when the same results are reached independently of the random initial seeds. If the local minima table shows different results for the different runs of the algorithm with similar c2 values, the analysis is probably overparameterized. In that case, it will necessary to simplify the model, thus reducing the number of fitting variables, or to include additional data series for a global fitting, thus reducing the number of degrees of freedom in the analysis.

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AFFINImeter fits with scientific publications

 

Recently we received the great news because AFFINImeter has been used and mentioned in some scientific publications.

The first one, It´s a review of the applications of Isothermal Titration Calorimetry from 2011 to 2015 . The author describes that:

“AFFINImeter produces commercial software that can be used for analysis of displacement assays, micellisation experiments, kinITC, the application of complex models for complex interactions and ligand-induced conformational change.” R. J. Falconer

Most of all publications have used KinITC method and the last one, the authors have used advanced tools like applying complex binding models or working with species distribution plot.

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Press on the links bellow to take a look at the publications:

2nd Annual European MicroCal Meeting

The Second Annual European MicroCal Meeting will be held this September 26th-27th at the Institut Pasteur in Paris, and AFFINImeter will be there.

It is important to mention that our Scientific staff will attempt to this meeting:

Eva Muñoz, our senior scientist as part of ARBRE European molecular biophysics network participates in the in scientific organizing committee.

Ángel Piñeiro (co-founder and CSO) will impart a workshop about AFFINImeter.

This event is co-organized by Malvern Instruments, Institut Pasteur and ARBRE European molecular biophysics network

Therefore it will be a good opportunity to learn about the latest applications of the microcalorimetry:

Isothermal titration and differential scanning calorimetry  (ITC and DSC).

You won’t miss it!

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 71st Calorimetry conference (CalCon 2016)

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71st Calorimetry Conference held in Oahu (Hawaii, USA)

It was a great pleasure for us attend the conference and on behalf of AFFINImeter, we want to thank CalCon 2016 for organising what once again proved to be an excellent conference

Thanks for making us partakers of this incredible scientific program which we really enjoyed and to gave us the opportunity to attend at calorimetry tutorial.

We mark our calendar to attend to Calorimetry Conference for the next year.