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A New Definition and Classification of Antibody Complementarity Determining Regions: Unsupervised Learning of Protein Backbone Conformations Informs Antibody Structural Bioinformatics and Design
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | A New Definition and Classification of Antibody Complementarity Determining Regions: Unsupervised Learning of Protein Backbone Conformations Informs Antibody Structural Bioinformatics and Design. |
| 개인저자 | Kelow, Simon Paul. |
| 단체저자명 | University of Pennsylvania. Biochemistry and Molecular Biophysics. |
| 발행사항 | [S.l.]: University of Pennsylvania., 2021. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2021. |
| 형태사항 | 169 p. |
| 기본자료 저록 | Dissertations Abstracts International 83-03A. Dissertation Abstract International |
| ISBN | 9798535590899 |
| 학위논문주기 | Thesis (Ph.D.)--University of Pennsylvania, 2021. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 83-03, Section: A.
Advisor: Dunbrack, Roland L.;Sharp, Kim A. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 일반주제명 | Biophysics. Bioinformatics. Molecular physics. Software. Datasets. Hydrogen bonds. Mutation. Cysts. Binding sites. Amino acids. Clustering. Peptides. Mechanics. Drug dosages. Proteins. Monte Carlo simulation. Liver. Medical research. Classification. Insects. Design. Ligands. Antigens. Algorithms. Homocysteine. Enzymes. Statistical methods. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
