Jaehyun Lee
Korea Advanced Institute of Science and Technology, Korea
Title: Clinical effect extraction from eastern medicine database
Submitted Date: 01-08-2016
Biography
Jaehyun Lee received M.S. degree in Bio and Brain Engineering form Korea Advanced Institute of Science and Technology (KAIST), Korea in 2014 and is currently in the Ph.D. course in the aforementioned affiliation. His research interests include bioinformatics, text-mining, and machine learning.
Abstract
Traditional Chinese medicine (TCM) is empirically accumulated knowledge for over 2,000 years. Traditional Chinese medicines integrated database (TCMID) is a large-scale TCM database with the unstructured plain text describing the functions of herbs and formulae. To analyze the high dimensional data using computational approaches for clinical effect extraction, the plain text should be structured by entity recognition (clinical entities and effective entities) and clinical/effective entity pairing. This paper presents a pilot study and its result to extract specific and atomic clinical effects from the plain text based on the machine-learning approach. The main task was divided into two independent steps which were defined as supervised learning problems: effective entity recognition and clinical/effective entity pairing. 100 herb entries and their functional descriptions from TCMID were randomly selected to generate the training corpus by manually tagging clinical effects. For the preprocessing step, MetaMap and BLLIP parser were utilized. MetaMap which is a tool for recognizing UMLS concepts was to recognize clinical entities according to the corresponding semantic types. And then, BLLIP parser identified the deep-parsed structures and extracted syntactic features for support vector machine (SVM) modelling. Based on the feature set, the two SVM classifiers were learned for effective entity recognition and clinical/effective entity pairing, respectively. The proposed pipeline achieved an F-score of 88.97% on the eventual task. Therefore, clinical effect extraction to organize plain text in TCMID would promise the time- and cost-saving approach for drug developers to analyze TMC databases in an automated manner.
Norma Rivera
National Autonomous University of Mexico (UNAM), Mexico
Title: Antimalarial efficacy of stem bark extract from Hintonialatiflorain a Plasmodium yoeliiyoeliimalaria model
Submitted Date: 18-08-2016
Biography
Norma Rivera DVM, PhD, is a Professor in the Department of Microbiology and Parasitology, Faculty of Medicine at UNAM. She works in the field of medical parasitology studying the problems associated with the treatment and control of parasitic diseases that are still major health problem in many countries around the World. Her research interests include the evaluation of synthetic compounds and natural products with antiprotozoal activity and the pathogenesis of Malaria and Toxoplasmosis.
Abstract
Hintonialatiflora(Hl)stembarkisusedinsomeruralcommunitiesofMexicototreatmalaria,diabetesandgastrointestinaldiseases.TheefficacyofHlstembarkmethanolicextract(HlMeOHe)inCD1malemiceinfectedwithPlasmodiumyoeliiyoelii(Pyy)wastested.Plantmaterialwasobtainedinasolid–liquidsystemfor72h.Thesolventwasevaporatedinvacuotoafford10gofextract.A4-daytestschemewasused.Oraldosesof1,200,600,and300mg/kgwereevaluated;oralchloroquinewasusedaspositivecontrol.Transmissionelectronmicroscopy(TEM)wasusedtoidentifyultrastructuralchangesontheasexualintraerythrocyticstagesofPyytreatedwithHlMeOHe.NonetreatedPyy-infectedmicediedbetween6and7dayspost-infection(PI)withparasitemiaover70%.Pyy-infectedmicetreatedwith600and300mg/kgshowedachemosuppressionpercentageoftotalparasitemiaof99.23and23.66,respectively,animalsinbothgroupsdied6to7daysPIwithparasitemiaover45%.With1,200mg/kgofHlMeOHe,Pyy-infectedmice,showeda100%chemosuppressionoftotalparasitemiaon5daysPIanda23dayssurvivaltimewithameanparasitemiaof23.6%atthedayofdeath(table1).Bodytemperatureoftreatedmicewassignificantlydecreased(P<0.05)inadose-dependentmannersomeminutesafterdosing;themaximumeffectwasobtainedwiththehighestdose2hafterextractadministration.Maximumextractdosedecreasesmicetemperatureupto3C°(table2).TEMimagesshowedmorphologicalchangesofparasitedeath(figure2).TheresultsobtainedinthisstudyshowedthattheinfectionoutcomeofPyy-infectedmiceisaffectedbyHlMeOHe.AlthoughthestembarkofHlshowedefficacytotreatmurinemalaria,itschemicalcompositionandtoxicityshouldbestudiedindetailforthebenefitofthosewhoconsumeit.rnStudypartiallysupportedbyprojectDGAPA-PAPIITUNAMIA203015.