In the recent years, the vast amount of genetic information generated by new-generation
approaches, have led to the need of new data handling methods. The integrative analysis of …

Genetic data have become increasingly complex within the past decade, leading
researchers to pursue increasingly complex questions, such as those involving epistatic …

The present invention relates to peptides, proteins, nucleic acids and cells for use in
immunotherapeutic methods. In particular, the present invention relates to the immuno …

ZRKFYGHZFMAOKI-QMGMOQQFSA-N tgfbeta Chemical compound C ([C@ H](NC (=
O)[C@ H](C (C) C) NC (= O) CNC (= O)[C@ H](CCC (O)= O) NC (= O)[C@ H](CCCNC (N) …

Background Dysfunctional adipose tissue (AT) is known to contribute to the pathophysiology
of metabolic disease, including type 2 diabetes mellitus (T2DM). This dysfunction may occur …

The field of machine learning has allowed researchers to generate and analyse vast
amounts of data using a wide variety of methodologies. Artificial Neural Networks (ANN) are …

There is a great need to develop novel approaches to target oncogenic transcription factors
with small molecules. Ewing sarcoma is emblematic of this need, as it depends on the …

The study of biological systems at a system level has become a reality due to the increasing
powerful computational approaches able to handle increasingly larger datasets. Uncovering …

Cell–cell adhesions constitute the structural “glue” that retains cells together and contributes
to tissue organisation and physiological function. The integrity of these structures is …

ABSTRACT Since the neonatal IgG Fc receptor (FcRn) was discovered, it was found to be
involved in immunoglobulin recycling and biodistribution, immune complexes routing …