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University of Illinois at Urbana-Champaign
Computational insights into biomolecular systems using artificial intelligence
Abstract
dc:descriptionSubmission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2026-05-01
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Biophysics & Quant Biology
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2024
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Park, Hyun
- Contributors dc:contributor
-
- Tajkhorshid, Emad
- Aksimentiev, Aleksei
- Pogorelov, Taras
- Huerta, Eliu A.
Subjects
dc:subject × 29- Ai
- Machine Learning
- Deep Learning
- Biophysics
- Biomolecule
- Protein
- Lipid
- Drug
- Polymer
- Mof
- Ai Framework
- Transition Pathway
- Generative Ai
- Drug Discovery
- Membrane
- Topological Data Analysis
- Alphafold
- Membtda
- Prottransvae
- Apace
- Ghpmof-assemble
- Diffusion Model
- Vae
- Predictive Model
- Molecular Dynamics
- Monte Carlo
- High Performance Computing
- Structure Prediction
- Conformational Diversity
Rights
dc:rights- Statement dc:rights
-
- Copyright 2024 Hyun Park
- Language dc:language
- en, eng
Identifiers
dc:identifier.*- Handle dc:identifier
- https://hdl.handle.net/2142/124634
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/124634