Tunde Aderinwale
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
Publications
31
Citations
690
Est. group size
~3
Recurring co-author estimate
Active years
8
Publishing since 2018
Tunde Aderinwale develops computational methods for understanding protein shapes and interactions, including software that predicts how multiple proteins dock together and tools that use deep learning to detect protein and DNA/RNA structures in cryo-electron microscopy images. This work combines structural biology, machine learning, and reinforcement learning to help interpret experimental data on large molecular complexes and can support drug discovery and basic research into how proteins function together.
Publication output peaked sharply in 2021 (14 outputs) after modest activity in prior years, then declined to about 1 publication per year from 2022 through 2024, suggesting an overall slowing pace in the most recent years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- AFM-RL: Large Protein Complex Docking Using AlphaFold-Multimer and Reinforcement Learning
bioRxiv (Cold Spring Harbor Laboratory) · 2024
- Discriminating physiological from non‐physiological interfaces in structures of protein complexes: A community‐wide study
PROTEOMICS · 2023
- RL-MLZerD: Multimeric protein docking using reinforcement learning
Frontiers in Molecular Biosciences · 2022
- RL-MLZerD: Multimeric protein docking using reinforcement learning
Zenodo (CERN European Organization for Nuclear Research) · 2022
- RL-MLZerD: Multimeric protein docking using reinforcement learning
Zenodo (CERN European Organization for Nuclear Research) · 2022
- LZerD webserver for pairwise and multiple protein–protein docking
Nucleic Acids Research · 2021
- Detecting protein and DNA/RNA structures in cryo-EM maps of intermediate resolution using deep learning
Nature Communications · 2021
- Detecting Protein and DNA/RNA Structures in Cryo-Em Maps of Intermediate Resolution using Deep Learning
Biophysical Journal · 2021
- SHREC 2021: Retrieval and classification of protein surfaces equipped with physical and chemical properties
Computers & Graphics · 2021
- <i>Emap2sec+</i>: detecting protein and DNA/RNA structures in cryo-EM maps of intermediate resolution using deep learning
Acta Crystallographica Section A Foundations and Advances · 2021
- Surface-based protein domains retrieval methods from a SHREC2021 challenge
Journal of Molecular Graphics and Modelling · 2021
- SHREC 2021: Surface-based Protein Domains Retrieval
Zenodo (CERN European Organization for Nuclear Research) · 2021
- Simulated maps for paper "Emap2sec+: Detecting Protein and DNA/RNA Structures in Cryo-EM Maps of Intermediate Resolution Using Deep Learning"
Zenodo (CERN European Organization for Nuclear Research) · 2021
- Simulated maps for paper "Emap2sec+: Detecting Protein and DNA/RNA Structures in Cryo-EM Maps of Intermediate Resolution Using Deep Learning"
Figshare · 2021
- Simulated maps for paper " Detecting Protein and DNA/RNA Structures in Cryo-EM Maps of Intermediate Resolution Using Deep Learning"
Zenodo (CERN European Organization for Nuclear Research) · 2021
- Zenodo (CERN European Organization for Nuclear Research)×5
- Figshare×5
- Proteins Structure Function and Bioinformatics×4
- bioRxiv (Cold Spring Harbor Laboratory)×3
- Computers & Graphics×2
- Andrzej Kloczkowski
Biochemistry, Genetics and Molecular Biology · The Ohio State University
- Charles Christoffer
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
- Jacob Verburgt
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
- Daisuke Kihara
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
- Carol Beth Post
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile