Faculty

Institution

Unit

Venue

Badri Adhikari

Associate Professor

University of Missouri–St. Louis

Affiliations

Arts and Sciences

Computer Science

Badri Adhikari is currently serving as an Arts And Sciences Associate Professor at University of Missouri–St. Louis.

Honors

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Experiences

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Education

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Badri Adhikari

University of Missouri–St. Louis

Associate Professor

You can click a keyword to filter the displayed items

bioinformatics biophysics structural biology deep learning protein science protein modeling protein structure prediction computational biology data science computer science informatics machine learning biostatistics virology scientific computing protein folding biomedical informatics protein bioinformatics ai education protein contact prediction scientific data virus research child neurology molecular informatics machine learning research structural bioinformatics chromosome biology sequence analysis viral structural protein virus classification viral genetics biomolecular structure prediction biophysical modeling writing instruction student learning teaching ai protein sequences contact information deep learning methods three-dimensional chromosomal structures distance geometry open-source framework prediction methods protein residue contacts comprehensive assessment protein contacts massive integration casp-commons experiment wefold collaborative antiretroviral therapy machine-learning classification digital medicine health informatics interpretable deep learning ai healthcare

Notable Scholarly Works

Notable Federal Grants

Collaborators

Teaching Coding in the Age of AI: A Hands-on Tutorial on Process Feedback. (2025)

Badri AdhikariJie Hou

hands-on tutorialcomputing educationcomputer scienceai educationartificial intelligenceteaching aiprocess feedback

Engaging Students to Learn Coding in the AI Era With Emphasis on the Process. Edukasiana Jurnal Inovasi Pendidikan (2024)

Kate ArendesShea KerkhoffBadri Adhikari

engineering educationcomputing educationeducationai educationartificial intelligenceai erastudent learning

Thinking Beyond Chatbots’ Threat to Education: Visualizations to Elucidate the Writing or Coding Process. Education Sciences (2023)

Badri Adhikari

learning sciencescoding processeducationvisualizationeducational technologywriting instructioneducational research

New Labeling Methods for Deep Learning Real-Valued Inter-Residue Distance Prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022)

Jacob BargerBadri Adhikari

biomedical informaticsmicrobiologyscientific computingbioinformaticscomputer scienceinformaticsbiostatisticsmachine learningcomputational biologydeep learning

Scoring Protein Sequence Alignments Using Deep Learning. Bioinformatics (2022)

Bikash ShresthaBadri Adhikari

data sciencebioinformaticsdeep learningprotein sequence alignments

Deep Learning-Based Advances in Protein Structure Prediction. International Journal of Molecular Sciences (2021)

Subash C. PakhrinBikash ShresthaBadri AdhikariDukka B. KC

deep learningcomputer scienceprotein structure prediction

DISTEVAL: A Web Server for Evaluating Predicted Protein Distances. BMC Bioinformatics (2021)

Badri AdhikariBikash ShresthaMatthew BernardiniJie HouJamie Lea

protein distancesbioinformaticsweb serverbiostatistics

Modeling Sars‐Cov‐2 Proteins in the Casp‐Commons Experiment. Proteins Structure Function and Bioinformatics (2021)

Andriy KryshtafovychJohn MoultWendy M BillingsDennis Della CorteKrzysztof FidelisSohee KwonKliment OlechnovičChaok SeokČeslovas VenclovasJonghun WonBadri AdhikariRecep AdiyamanJoaquim Aguirre-PlansIvan AnishchenkoMinkyung BaekDavid BakerFrederico BaldassarreJacob BargerSutanu BhattacharyaDebswapna BhattacharyaMor BittonRenzhi CaoJianlin ChengCharles ChristofferCezary CzaplewskiArne ElofssonEshel FaraggiMichael FeigNarcis Fernandez-FuentesNick GrishinSergei GrudininZhiye GuoYuya HanazonoDemis HassabisBryce HedeliusLim HeoNaozumi HiranumaCassandra HuntIlia IgashovTakashi IshidaRobert L. JerniganDavid JonesJohn JumperMaria KadukovaShaun KandathilChen KeasarDaisuke KiharaLisa KinchYasuomi KiyotaAndrzje KloczkowskiPushmeet KohliMateusz KogutElodie LaineCade LilleyJian LiuAdam LiwoEmilia LubeckaArup MondalConnor J. MorrisLiam McguffinAlexis MolinaTsukasa NakamuraBaldo OlivaAlberto PerezGabriele PozzatiDaipayan SarkarRin SatoTorsten SchwedeBikash ShresthaTomer SidiGabriel StuderMd Hossain ShuvoMayuko Takeda-ShitakaYuma TakeiGenki TerashiKentaro TomiiYuko TsuchiyaKathryn TunyasuvunakoolBjörn WalinerTianqi WuJinbo XuYu YamamoriChengxin ZhangYang ZhangWei Zheng

virologygeneticscasp-commons experimentviral structural proteinsars-cov-2molecular modelsprotein modelingmolecular biologymolecular modellingvirus research

A Fully Open-Source Framework for Deep Learning Protein Real-Valued Distances. Scientific Reports (2020)

Badri Adhikari

biophysicsscientific datascientific computingbioinformaticsdata scienceopen-source frameworkdeep learning

REALDIST: Real-Valued Protein Distance Prediction. bioRxiv (Cold Spring Harbor Laboratory) (2020)

Badri Adhikari

biophysicsbiomolecular structure predictionmachine learning researchprotein structure predictionbioinformaticsbiophysical modelingprotein sciencequantitative biologybiostatisticsprotein structuremachine learningcomputational biologymolecular informaticsprotein modelingmolecular biologyprotein bioinformatics

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Badri Adhikari

Associate Professor

University of Missouri–St. Louis

Affiliations

Arts and Sciences

Computer Science

Badri Adhikari is currently serving as an Arts And Sciences Associate Professor at University of Missouri–St. Louis.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Badri Adhikari

University of Missouri–St. Louis

Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Teaching Coding in the Age of AI: A Hands-on Tutorial on Process Feedback. (2025)

Badri AdhikariJie Hou

hands-on tutorialcomputing educationcomputer scienceai educationartificial intelligenceteaching aiprocess feedback

Engaging Students to Learn Coding in the AI Era With Emphasis on the Process. Edukasiana Jurnal Inovasi Pendidikan (2024)

Kate ArendesShea KerkhoffBadri Adhikari

engineering educationcomputing educationeducationai educationartificial intelligenceai erastudent learning

Thinking Beyond Chatbots’ Threat to Education: Visualizations to Elucidate the Writing or Coding Process. Education Sciences (2023)

Badri Adhikari

learning sciencescoding processeducationvisualizationeducational technologywriting instructioneducational research

New Labeling Methods for Deep Learning Real-Valued Inter-Residue Distance Prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022)

Jacob BargerBadri Adhikari

biomedical informaticsmicrobiologyscientific computingbioinformaticscomputer scienceinformaticsbiostatisticsmachine learningcomputational biologydeep learning

Scoring Protein Sequence Alignments Using Deep Learning. Bioinformatics (2022)

Bikash ShresthaBadri Adhikari

data sciencebioinformaticsdeep learningprotein sequence alignments

Deep Learning-Based Advances in Protein Structure Prediction. International Journal of Molecular Sciences (2021)

Subash C. PakhrinBikash ShresthaBadri AdhikariDukka B. KC

deep learningcomputer scienceprotein structure prediction

DISTEVAL: A Web Server for Evaluating Predicted Protein Distances. BMC Bioinformatics (2021)

Badri AdhikariBikash ShresthaMatthew BernardiniJie HouJamie Lea

protein distancesbioinformaticsweb serverbiostatistics

Modeling Sars‐Cov‐2 Proteins in the Casp‐Commons Experiment. Proteins Structure Function and Bioinformatics (2021)

virologygeneticscasp-commons experimentviral structural proteinsars-cov-2molecular modelsprotein modelingmolecular biologymolecular modellingvirus research

A Fully Open-Source Framework for Deep Learning Protein Real-Valued Distances. Scientific Reports (2020)

Badri Adhikari

biophysicsscientific datascientific computingbioinformaticsdata scienceopen-source frameworkdeep learning

REALDIST: Real-Valued Protein Distance Prediction. bioRxiv (Cold Spring Harbor Laboratory) (2020)

Badri Adhikari

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co-occurrence network approach

molecular informatics

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Michigan Technological University

disaster prediction

multidisciplinary ai

Jie Hou

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Saint Louis University

biomedical informatics

optimization-based data mining

Daisuke Kihara

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biological computation

computational biology

Jinfeng Zhang

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scientific computing

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Simon Kasif

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