BenchStab: a tool for automated querying of web-based stability predictors.

Summary: Protein design requires information about how mutations affect protein stability. Many web-based predictors are available for this purpose, yet comparing them or using them en masse is difficult. Here, we present BenchStab, a console tool/Python package for easy and quick execution of 19 predictors and result collection on a list of mutants.

SoluProtMut: A manually curated database of protein solubility changes upon mutations.

Protein solubility is an attractive engineering target primarily due to its relation to yields in protein production and manufacturing. Moreover, better knowledge of the mutational effects on protein solubility could connect several serious human diseases with protein aggregation. However, we have limited understanding of the protein structural determinants of solubility, and the available data have mostly been scattered in the literature.

Tools for computational design and high-throughput screening of therapeutic enzymes.

Therapeutic enzymes are valuable biopharmaceuticals in various biomedical applications. They have been successfully applied for fibrinolysis, cancer treatment, enzyme replacement therapies, and the treatment of rare diseases. Still, there is a permanent demand to find new or better therapeutic enzymes, which would be sufficiently soluble, stable, and active to meet specific medical needs.

[Predictive factors for non-sentinel lymph nodes affection in breast carcinoma--outcomes of a Czech multicenter study of sentinel lymph nodes].

Background: The aim of the study was to assess positivity nonsentinel lymph nodes in patients with macro, micro and submicrometastases in sentinel lymph nodes and find predictive factors of positivity nonsentinel lymph nodes. Study was conducted at the Department of Surgery in Pardubice, Pilsen, Ostrava and Zlín.

Material And Methods: Sentinel lymph nodes were assessed based on standards of Czech Pathological Society.