Partners | Companies
Mind the Byte (MTB)
Mind the Byte is a bioinformatics company specialized in computational drug discovery using a pay-per-use SaaS platform (Software as a Service) located at the Barcelona Science Park and Copenhagen Bio Science Park.
We work with biotechnology, pharmaceutical and veterinary companies as well as research centres and universities around the world to help them complete their R&D processes more quickly and economically. We are Amazon Web Services technology partners (a seal of quality that has only been awarded to five companies in this sector) and members of the Microsoft BizSpark Plus programme.
Mind the Byte was founded in 2011 by Alfons Nonell-Canals, who holds a PhD in Computational Chemistry and is a specialist in computer-aided drug design, in the development of software to modify active compounds, and in large-scale chemical and biological analyses.
We've taken part in several excellence programmes, including the AWS Start-up Challenge, BioEmprenedorXXI, TEA by ACCIÓ and IESE, and Start-Up Catalonia.
Bioinformatics services offered: https://www.mindthebyte.com/saas-platform/
Cabrakan is a 2D ligand-based Virtual Profiling application. It compares molecules using 2D fingerprints to assign biological activity. The applications include the prediction of biological targets (proteins) and therapeutic indications, first approach to mechanisms of action (MoA). it can be used by a single user or a group of researchers and supports ADME/TOX issues.
Hurakan is a 3D ligand-based Virtual Profiling application. It compares molecules according to their behavior with the environment, hence it finds biomimetic compounds. It allows to retrieve activity that can not be found by conventional 2D or 3D methods based on superimposing molecules. The applications include thne prediction of biological targets (proteins) and therapeutic indications, the new profile for drugs (drug repurposing), the first approach to mechanisms of action (MoA). It supports ADME/TOX issues.
Ixchel is a protein-based Biological Activity Prediction application. It does not compare molecules to compute biological activities; instead, it performs docking simulations between the small molecule and a database of more than 9,000 protein cavities. Results are classified according to protein-ligand binding energy. The applications include the prediction of biological targets (proteins), new profiles for drugs (drug repurposing), first approach to mechanisms of action (MoA). It supports ADME/TOX issues.
Chaac is our 2D ligand-based Virtual Screening tool. It compares a molecule with a database of ligands using a 2D approach and outputs a list of candidates with similar chemical profile that the query. The applications include the identification of molecules similar to yours, boost your pipeline, enrich your chemical library.
Ik is our 3D Virtual Screening application. It uses a 3D algorithm to compare molecules according to their behavior with their environment and outputs a list of compounds similar to your query, including also the non-structural analogs. The applications include the identification of molecules similar to yours, boost your pipeline, enrich your chemical library and overcome IP issues.
Kizin is a Compound Selection tool. Using ChEMBL database Kizin creates a list of molecules that bind to your target. Then it performs a 2D virtual screening of these molecules against your library of compounds. It outputs the active molecules present in your library. The applications include the identification of active molecules for a target, reduces the risks derived from betting on a single hit, boosts your pipeline.
Ixtab is a transversal Compounds Library Management tool. It allows to upload chemical libraries and explore them with Chaac, IK or Kizin. Customized databases allow you to find out more specific results according with the batch of seed molecules you used to then work only with the molecules that matter to you. You can also convert virtual screening results into chemical libraries to further explore. The applications include the identification of active molecules for a target, the minimization of the risks derived from betting on a single hit and boosts your pipeline.