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Application of enzymes in Nitrogen-13 radiochemistry; biocatalytic synthesis of PET radionuclides with biomedical interest
(2017-09-18)
La instalación generalizada de ciclotrones biomédicos a nivel mundial ha suscitado un gran interés entre la comunidad científica, que ve la tomografía por emisión de positrones (PET, del inglés Positron Emission Tomography) ...
Novel strategies for the preparation of 13N-labelled compounds: Synthesis of 13N-labelled Aromatic azides, triazoles and tetrazoles
(2017-06-01)
La Tomografía por Emisión de Positrones (PET) es una técnica de imagen molecular que permite conocer, de manera mínimamente invasiva y prácticamente a tiempo real, la distribución espacio-temporal de un radiotrazador marcado ...
Exploring new labelling strategies for boronated compounds: towards fast development and efficient assessment of BNCT drug candidates
(2015-10-28)
La terapia por captura de neutrones (BNCT o Boron Neutron Capture Therapy), fue descrita por primera vez por Locher en 1936 y es una modalidad terapéutica binaria para el tratamiento del cáncer que se basa en la captura ...
Antibacterial and cytotoxic activities of new sphingolipids and other constituents isolated from Cissus incisa leaves
(Elsevier, 2020-08)
Cissus incisa is used in traditional Mexican medicine to treat certain ailments, infectious or cancerous diseases. Excepting for our previous research, this species had no scientific reports validating its traditional use. ...
Prediction of breast cancer proteins involved in immunotherapy, metastasis, and RNA-binding using molecular descriptors and artificial neural networks
(Springer Nature, 2020-05-22)
[EN] Breast cancer (BC) is a heterogeneous disease where genomic alterations, protein expression deregulation, signaling pathway alterations, hormone disruption, ethnicity and environmental determinants are involved. Due ...
Web Server and R Library for the Calculation of Markov Chains Molecular Descriptors
(MDPI, 2020-08-20)
Markov Chain Molecular Descriptors (MCDs) have been largely used to solve Cheminformatics problems. The software to perform the calculation is not always available for general users. In this work, we developed the first ...
Prediction of Multi-Target Networks of Neuroprotective Compounds with Entropy Indices and Synthesis, Assay, and Theoretical Study of New Asymmetric 1,2-Rasagiline Carbamates
(MDPI, 2014-09)
In a multi-target complex network, the links (L-ij) represent the interactions between the drug (d(i)) and the target (t(j)), characterized by different experimental measures (K-i, K-m, IC50, etc.) obtained in pharmacological ...
Data Analysis in Chemistry and Bio-Medical Sciences
(MDPI, 2016-12-14)
There is an increasing necessity for multidisciplinary collaborations in molecular science between experimentalists and theoretical scientists, as well as among theoretical scientists from different fields. One of the more ...
Net-Net Auto Machine Learning (AutoML) Prediction of Complex Ecosystems
(Nature Publishing, 2018-08-17)
Biological Ecosystem Networks (BENs) are webs of biological species (nodes) establishing trophic relationships (links). Experimental confirmation of all possible links is difficult and generates a huge volume of information. ...
Gene Prioritization, Communality Analysis, Networking and Metabolic Integrated Pathway to Better Understand Breast Cancer Pathogenesis
(Nature Publishing Group, 2018-11-12)
Consensus strategy was proved to be highly efficient in the recognition of gene-disease association. Therefore, the main objective of this study was to apply theoretical approaches to explore genes and communities directly ...