2026年托福听力学术讲座（生物类）试题：生物物理学与生物信息学交叉领域考察

2026年托福听力学术讲座（生物类）试题：生物物理学与生物信息学交叉领域考察考试时间：______分钟总分：______分姓名：______PartA(1)ProfessorChenisdiscussingtheapplicationofbiophysicaltechniquesinbioinformatics.Shementionsthatsingle-moleculeforcespectroscopycanbeusedtomeasurethemechanicalpropertiesofDNAandproteins.Whatistheprimaryadvantageofthistechniqueovertraditionalbulkmeasurements?(A)Itcanmeasurethepropertiesofindividualmolecules.(B)Itislessexpensivethanbulkmeasurements.(C)Itcanmeasurethepropertiesofmoleculesinsolution.(D)Itprovidesinformationaboutthechemicalstructureofmolecules.(2)Astudentaskstheprofessorabouttheroleofmachinelearninginbioinformatics.Howdoestheprofessorrespond?(A)Machinelearningisnotusefulinbioinformatics.(B)Machinelearningcanbeusedtopredictthefunctionofunknownproteins.(C)MachinelearningisonlyusedforanalyzingDNAsequences.(D)Machinelearningistoocomplexformostbioinformaticians.(3)Theprofessordiscussesastudythatusedbioinformaticstoanalyzethestructureofaprotein.Whatwasthemainfindingofthisstudy?(A)Theproteinhasanovelstructurethatwasnotpreviouslyknown.(B)Theproteinstructureisverysimilartootherknownproteins.(C)Theproteinstructurecannotbedeterminedusingbioinformatics.(D)Theproteinstructureistoocomplextobeanalyzedusingcurrentbioinformaticsmethods.(4)TheprofessormentionsthatFörsterResonanceEnergyTransfer(FRET)isabiophysicaltechniqueusedtostudyprotein-proteininteractions.HowdoesFRETwork?(A)FRETmeasuresthechangeinfluorescenceintensityofadonormoleculewhenittransfersenergytoanacceptormolecule.(B)FRETmeasuresthedistancebetweentwoproteins.(C)FRETmeasuresthebindingaffinityoftwoproteins.(D)FRETmeasurestherateofproteinfolding.(5)Theprofessordiscussesthechallengesofintegratingbiophysicaldatawithbioinformaticsdata.Whatisoneofthemainchallenges?(A)Thedataformatsareincompatible.(B)Thedataistoolargetoanalyze.(C)Thereisalackofskilledresearchers.(D)Theresultsareoftencontradictory.PartB(6)Inalectureoncomputationalbiology,thespeakermentionsthatnext-generationsequencingtechnologieshaverevolutionizedthefield.Whathasbeenthemostsignificantimpactofthesetechnologies?(A)TheyhavemadeitpossibletosequenceDNAmuchfaster.(B)TheyhavemadeitpossibletosequenceRNA.(C)Theyhavemadeitpossibletosequenceproteins.(D)Theyhavemadeitpossibletosequencetheentirehumangenome.(7)Thespeakerdiscussesacomputationalmethodusedtopredictproteinstructures.Whatisthenameofthismethod?(A)X-raycrystallography(B)NMRspectroscopy(C)Homologymodeling(D)Massspectrometry(8)Astudentasksthespeakeraboutthelimitationsofcomputationalmodelsinbiology.Whatdoesthespeakersayisoneofthemainlimitations?(A)Computationalmodelsaretoocomplex.(B)Computationalmodelsarenotaccurateenough.(C)Computationalmodelsaretooexpensivetorun.(D)Computationalmodelsareonlyusefulforsimplesystems.(9)Thespeakermentionsthatsystemsbiologyaimstounderstandtheinteractionsbetweenbiologicalcomponents.Whatisakeytoolusedinsystemsbiology?(A)Microscopy(B)Genomics(C)Proteomics(D)Networkanalysis(10)Thespeakerdiscussestheimportanceofdataintegrationincomputationalbiology.Whatisthemainadvantageofintegratingdatafromdifferentsources?(A)Itincreasestheamountofdataavailable.(B)Itimprovestheaccuracyoftheresults.(C)Itmakestheanalysiseasier.(D)Itreducesthecostoftheanalysis.PartC(11)Inalectureonbiophysicsandbioinformatics,thespeakerdiscussestheuseofmoleculardynamicssimulationstostudyproteinfolding.Whatistheprimarypurposeofthesesimulations?(A)Topredictthethree-dimensionalstructureofaprotein.(B)Todeterminetheaminoacidsequenceofaprotein.(C)Tostudythedynamicsofaproteininsolution.(D)Tomeasurethethermalstabilityofaprotein.(12)Thespeakermentionsthathigh-throughputscreeningisatechniqueusedinbioinformatics.Whatisthemainadvantageofthistechnique?(A)Itcanscreenalargenumberofcompoundsforaspecifictarget.(B)Itcananalyzetheexpressionofalargenumberofgenessimultaneously.(C)Itcanpredictthestructureofalargenumberofproteins.(D)Itcanmeasurethebindingaffinityofalargenumberofcompoundstoaspecificprotein.(13)Astudentasksthespeakerabouttheroleofstatisticsinbioinformatics.Howdoesthespeakerrespond?(A)Statisticsisnotimportantinbioinformatics.(B)Statisticsisusedtoanalyzetheresultsofexperiments.(C)Statisticsisusedtodesignexperiments.(D)Statisticsisusedtopredictthefunctionofgenes.(14)Thespeakerdiscussestheimportanceofexperimentalvalidationincomputationalbiology.Whyisthisimportant?(A)Itensurestheaccuracyofthecomputationalmodels.(B)Itincreasestheamountofdataavailable.(C)Itmakestheanalysiseasier.(D)Itreducesthecostoftheanalysis.(15)Thespeakerconcludesthelecturebydiscussingthefutureofbiophysicsandbioinformatics.Whatisoneofthemaintrendshementions?(A)Thedevelopmentofnewbiophysicaltechniques.(B)Thedevelopmentofnewbioinformaticsalgorithms.(C)Theintegrationofbiophysicsandbioinformatics.(D)Theapplicationofthesefieldstootherareasofscience.PartD(16)Theprofessorisdiscussingtheuseofbioinformaticsindrugdiscovery.Shementionsthatstructure-baseddrugdesigninvolvesusingthethree-dimensionalstructureofatargetproteintodesigndrugsthatbindtoit.Whatisoneoftheadvantagesofthisapproach?(A)Itcanbeusedtodesigndrugsthataremoreeffectiveandhavefewersideeffects.(B)Itislessexpensivethanotherdrugdiscoveryapproaches.(C)Itcanbeusedtodiscoverdrugsforanydisease.(D)Itdoesnotrequireanyexperimentaldata.(17)Astudentaskstheprofessorabouttheroleofgenomicsindrugdiscovery.Howdoestheprofessorrespond?(A)Genomicsisnotusefulindrugdiscovery.(B)Genomicscanbeusedtoidentifygenesthatareassociatedwithaparticulardisease.(C)GenomicsisonlyusedtosequenceDNA.(D)Genomicsistoocomplexformostdrugdevelopers.(18)Theprofessordiscussesastudythatusedbioinformaticstoidentifypotentialdrugtargets.Whatwasthemainfindingofthisstudy?(A)Thestudyidentifiedanumberofpotentialdrugtargets.(B)Thestudyfoundthatbioinformaticsisnotusefulforidentifyingdrugtargets.(C)Thestudyconcludedthattherearenopotentialdrugtargetslefttodiscover.(D)Thestudydeterminedthatallknowndrugstargetthesameprotein.(19)Theprofessormentionsthatcheminformaticsisafieldthatusescomputationalmethodstostudychemicalcompounds.Howdoescheminformaticsrelatetobioinformatics?(A)Cheminformaticsisusedtopredictthebiologicalactivityofchemicalcompounds.(B)Cheminformaticsisusedtodesignnewchemicalcompounds.(C)Cheminformaticsisusedtostudythestructureofchemicalcompounds.(D)Cheminformaticsisusedtostudythepropertiesofchemicalcompounds.(20)Theprofessorconcludesthelecturebydiscussingthefutureofbioinformaticsindrugdiscovery.Whatisoneofthemainchallengesshementions?(A)Thedevelopmentofnewcomputationalmethods.(B)Theintegrationofbioinformaticswithotherfields.(C)Theinterpretationoftheresults.(D)Thecostofthecomputationalresourcesneeded.试卷答案(1)A解析：单分子力谱学的核心优势在于能够测量单个分子的性质，这是与传统宏观测量方法相比最根本的区别。(2)B解析：教授回答机器学习的作用时，提到了它可以用来预测未知蛋白质的功能，这是机器学习在生物信息学中的一项重要应用。(3)A解析：讲座中提到的关于蛋白质结构的研究，主要发现是确定了一个新的蛋白质结构，这是该研究的核心成果。(4)A解析：FRET的工作原理是测量供体分子能量转移到受体分子时荧光强度的变化，这是FRET技术的基本机制。(5)A解析：整合生物物理数据与生物信息数据的主要挑战之