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UID:DSC-19671
DTSTART;TZID=Europe/Berlin:20230509T110000
SEQUENCE:1683697137
TRANSP:OPAQUE
DTEND;TZID=Europe/Berlin:20230509T120000
URL:https://www.dresden-science-calendar.de/calendar/de/detail/19671
LOCATION:MPI-CBG\, Pfotenhauerstraße 10801307 Dresden
SUMMARY:Alaimo: Pathway-based Cell Models and Text-Processing Techniques fo
 r Analysis and Simulation of Phenotypes with Application to Biomedicine
CLASS:PUBLIC
DESCRIPTION:Speaker: Alfredo Ferro and Salvatore Alaimo\nInstitute of Speak
 er: Department of Clinical and Experimental Medicine\, University of Catan
 ia\, Italy\nTopics:\n\n Location:\n  Name: MPI-CBG (CSBD SR Top Floor)\n  
 Street: Pfotenhauerstraße 108\n  City: 01307 Dresden\n  Phone: +49 351 21
 0-0\n  Fax: +49 351 210-2000\nDescription: This talk will summarize three 
 main techniques we developed in our Bioinformatics Lab in Catania. 1) MITH
 rIL: This system uses the concept of a metapathway\, a mechanistic model o
 f the cell\, merging KEGG and REACTOME extended with microRNA and TF in a 
 multi-relational network. MITHrIL takes as input the Log-Fold-Changes of d
 ifferentially expressed biological elements (genes\, metabolites\, miRNAs)
 . It will produce a quantitative prediction of each gene and pathway pertu
 rbation with its statistical significance. 2) PHENSIM: This system uses th
 e MITHrIL model to simulate phenotypes. Phensim takes as input user-specif
 ied positively and negatively perturbed elements (genes\, metabolites\, mi
 RNAs) and non-expressed genes in the cellular context (i.e.\, tissue\, cel
 l line) and will produce a qualitative prediction of gene and pathway alte
 ration (positive\, negative\, or null) with its statistical significance. 
 3) NETME: This algorithm builds a knowledge graph starting from bio-medica
 l literature given as input by the user. Papers can be obtained directly b
 y querying PubMed or as PDF documents. The knowledge graph built by NETME 
 summarizes the knowledge contained in those documents.  We will show examp
 les of these techniques for drug suggestion in infection and other disease
 s for pandemic first-aid intervention and precision medicine. Other applic
 ations will be briefly discussed\, such as gene knock-out and knock-down s
 imulation and extra-cellular exosome functional prediction. Finally\, poss
 ible future extensions to single-cell and cell-cell communications will be
  outlined.
DTSTAMP:20260410T100152Z
CREATED:20230303T063815Z
LAST-MODIFIED:20230510T053857Z
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