Faculty

Institution

Unit

Venue

Chenguang Zhao

Assistant Professor

Lamar University

Affiliations

College of Arts and Sciences

Computer Science

Chenguang Zhao is currently serving as a College Of Arts And Sciences Assistant Professor at Lamar University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Chenguang Zhao

Lamar University

Assistant Professor

You can click a keyword to filter the displayed items

bioinformatics systems biology computational biology molecular biology genomics protein modeling protein structure prediction protein structure protein science genetics biomedical informatics molecular informatics protein function prediction data science semantic web genome biology biomolecular structure protein bioinformatics structural bioinformatics pattern recognition scientific communication semantics machine learning scientific data semantic evaluation function spaces knowledge discovery molecular structure sequence alignment comparative genomics semantic similarity ontology alignment biomedical ontologies domain theory topological data analysis hierarchical classification data re-identification domain characteristic reference architecture sequence motif biomolecular structure prediction experimental screens improved algorithm gene ontology terms family classification affinity propagation domain architecture deep 3d residual neural networks biological networks theoretical biology global networks biosystems sequence analysis protein design network analysis structural biology proteome research long-read sequencing interaction network functional genomics

Notable Scholarly Works

Notable Federal Grants

Collaborators

On the State of Protein Function Prediction a Report on the Fourth Cafa Challenge. (2026)

proteomicsprotein structure predictionprotein structuremolecular biologybiomolecular structurecomputational biologyprotein sciencebioinformatics

Egg Accuracy Estimation of Individual Multimeric Protein Models Using Deep Energybased Models and Graph Neural Networks. (2024)

systems biologyprotein bioinformaticsdeep learningcomputational biologyprotein modelingmolecular informaticsbioinformatics

PICNIC: Refinement of Alphafold2 Tertiary Structure Predictions Using Deep 3D Residual Neural Networks. (2024)

biophysicsprotein structure predictionprotein modelingdeep 3dsystems biologyprotein structureresidual neural networksmolecular structurebiomolecular structuredeep learningmolecular biologystructural bioinformaticsstructural biologycomputational biologyprotein sciencebiomolecular structure predictionprotein folding

Functional Similarities of Proteincoding Genes in Topologically Associating Domains and Spatiallyproximate Genomic Regions. (2022)

genomicsgenome biologyfunctional genomicsgeneticssequence motifmolecular biology

PANDA2: Protein Function Prediction Using Graph Neural Networks. NAR Genomics and Bioinformatics (2022)

Chenguang ZhaoTong LiuZheng Wang

genomicsbiophysicsprotein function predictioncomputational biologymachine learningbioinformatics

Predicting Residue‐Specific Qualities of Individual Protein Models Using Residual Neural Networks and Graph Neural Networks. Proteins Structure Function and Bioinformatics (2022)

proteomicsprotein structure predictionprotein modelingsystems biologyprotein structureprotein sciencebioinformatics

TADKB: Family Classification and a Knowledge Base of Topologically Associating Domains. BMC Genomics (2019)

Tong LiuJacob PorterChenguang ZhaoHao ZhuNan WangZheng SunYin-Yuan MoZheng Wang

topologyknowledge discoverydata sciencemolecular informaticsdomain characteristicdata re-identificationfamily classificationdomain theorybioinformaticshierarchical classificationgraph theorytopological data analysisbiostatisticssemantic webgenomicsbiomedical informaticsknowledge graphssystems biologyfunction spaces

The Cafa Challenge Reports Improved Protein Function Prediction and New Functional Annotations for Hundreds of Genes Through Experimental Screens. Genome biology (2019)

Naihui ZhouYuxiang JiangTimothy R. BergquistAlexandra J. LeeBalint Z. KacsohAlex W. CrockerKimberley A. LewisGeorge GeorghiouHuy N. NguyenMd Nafiz HamidLarry DavisTunca DoganVolkan AtalayAhmet S. RifaiogluAlperen DalkıranRengul Cetin AtalayChengxin ZhangRebecca L. HurtoPeter L. FreddolinoYang ZhangPrajwal BhatFran SupekJosé M. FernándezBranislava GemovicVladimir R. PerovicRadoslav S. DavidovićNeven SumonjaNevena VeljkovicEhsaneddin AsgariMohammad R.K. MofradGiuseppe ProfitiCastrense SavojardoPier Luigi MartelliRita CasadioFlorian BoeckerHeiko SchoofIndika KahandaNatalie ThurlbyAlice C. McHardyAlexandre RenauxRabie SaidiJulian GoughAlex A. FreitasMagdalena AntczakFabio FabrisMark N. WassJie HouJianlin ChengZheng WangAlfonso E. RomeroAlberto PaccanaroHaixuan YangTatyana GoldbergChenguang ZhaoLiisa HolmPetri TörönenAlan J. MedlarElaine ZosaItamar BorukhovIlya NovikovAngela WilkinsOlivier LichtargePo-Han ChiWei-Cheng TsengMichal LinialPeter W. RoseChristophe DessimozVedrana VidulinSaso DzeroskiIan SillitoeSayoni DasJonathan Gill LeesDavid T. JonesCen WanDomenico CozzettoRui FaMateo TorresAlex Warwick VesztrocyJose Manuel RodriguezMichael L. TressMarco FrascaMarco NotaroGiuliano GrossiAlessandro PetriniMatteo ReGiorgio ValentiniMarco MesitiDaniel B. RocheJonas ReebDavid W. RitchieSabeur AridhiSeyed Ziaeddin AlborziMarie-Dominique DevignesDa Chen Emily KooRichard BonneauVladimir GligorijevićMeet BarotHai FangStefano ToppoEnrico Lavezzo

genomicsgenome biologyexperimental screensgeneticsprotein function predictionbioinformatics

GOGO: An Improved Algorithm to Measure the Semantic Similarity Between Gene Ontology Terms. Scientific Reports (2018)

Chenguang ZhaoZheng Wang

semantic similaritysequence alignmentgene ontology termsdata sciencemolecular informaticssemanticscomparative genomicsbioinformaticsbiomedical ontologiespattern recognitionsemantic webgenomicsbiomedical informaticsscientific communicationgeneticsscientific datasemantic evaluationmolecular biologyontology alignmentimproved algorithm

PANDA: Protein Function Prediction Using Domain Architecture and Affinity Propagation. Scientific Reports (2018)

Zheng WangChenguang ZhaoYiheng WangZheng SunNan Wang

domain architectureprotein structure predictionprotein modelingsystems biologyprotein structureprotein bioinformaticsaffinity propagationbiomolecular engineeringmolecular biologystructural bioinformaticsreference architecturestructural biologycomputational biologyprotein scienceprotein function predictionbioinformatics

1
2
10 / page

Chenguang Zhao

Assistant Professor

Lamar University

Affiliations

College of Arts and Sciences

Computer Science

Chenguang Zhao is currently serving as a College Of Arts And Sciences Assistant Professor at Lamar University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Chenguang Zhao

Lamar University

Assistant Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

On the State of Protein Function Prediction a Report on the Fourth Cafa Challenge. (2026)

proteomicsprotein structure predictionprotein structuremolecular biologybiomolecular structurecomputational biologyprotein sciencebioinformatics

Egg Accuracy Estimation of Individual Multimeric Protein Models Using Deep Energybased Models and Graph Neural Networks. (2024)

systems biologyprotein bioinformaticsdeep learningcomputational biologyprotein modelingmolecular informaticsbioinformatics

PICNIC: Refinement of Alphafold2 Tertiary Structure Predictions Using Deep 3D Residual Neural Networks. (2024)

Functional Similarities of Proteincoding Genes in Topologically Associating Domains and Spatiallyproximate Genomic Regions. (2022)

genomicsgenome biologyfunctional genomicsgeneticssequence motifmolecular biology

PANDA2: Protein Function Prediction Using Graph Neural Networks. NAR Genomics and Bioinformatics (2022)

Chenguang ZhaoTong LiuZheng Wang

genomicsbiophysicsprotein function predictioncomputational biologymachine learningbioinformatics

Predicting Residue‐Specific Qualities of Individual Protein Models Using Residual Neural Networks and Graph Neural Networks. Proteins Structure Function and Bioinformatics (2022)

proteomicsprotein structure predictionprotein modelingsystems biologyprotein structureprotein sciencebioinformatics

TADKB: Family Classification and a Knowledge Base of Topologically Associating Domains. BMC Genomics (2019)

Tong LiuJacob PorterChenguang ZhaoHao ZhuNan WangZheng SunYin-Yuan MoZheng Wang

The Cafa Challenge Reports Improved Protein Function Prediction and New Functional Annotations for Hundreds of Genes Through Experimental Screens. Genome biology (2019)

genomicsgenome biologyexperimental screensgeneticsprotein function predictionbioinformatics

GOGO: An Improved Algorithm to Measure the Semantic Similarity Between Gene Ontology Terms. Scientific Reports (2018)

Chenguang ZhaoZheng Wang

PANDA: Protein Function Prediction Using Domain Architecture and Affinity Propagation. Scientific Reports (2018)

Zheng WangChenguang ZhaoYiheng WangZheng SunNan Wang

1
2
10 / page