Lucy J. Colwell

Orcid: 0000-0003-3148-0337

Affiliations:
  • University of Cambridge, Departmenf of Chemistry, UK


According to our database1, Lucy J. Colwell authored at least 20 papers between 2009 and 2023.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
MGnify: the microbiome sequence data analysis resource in 2023.
Nucleic Acids Res., January, 2023

InterPro in 2022.
Nucleic Acids Res., January, 2023

AVIDa-hIL6: A Large-Scale VHH Dataset Produced from an Immunized Alpaca for Predicting Antigen-Antibody Interactions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Meaningful machine learning models and machine-learned pharmacophores from fragment screening campaigns.
CoRR, 2022

A roadmap for the functional annotation of protein families: a community perspective.
Database J. Biol. Databases Curation, 2022

2021
Improving Protein Function Annotation via Unsupervised Pre-training: Robustness, Efficiency, and Insights.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Rethinking Attention with Performers.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
The Effect of Debiasing Protein-Ligand Binding Data on Generalization.
J. Chem. Inf. Model., 2020

Critiquing Protein Family Classification Models Using Sufficient Input Subsets.
J. Comput. Biol., 2020

Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers.
CoRR, 2020

Computational approaches to therapeutic antibody design: established methods and emerging trends.
Briefings Bioinform., 2020

Evaluating Attribution for Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Population-Based Black-Box Optimization for Biological Sequence Design.
Proceedings of the 37th International Conference on Machine Learning, 2020

Model-based reinforcement learning for biological sequence design.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Noisy, sparse, nonlinear: Navigating the Bermuda Triangle of physical inference with deep filtering.
CoRR, 2019

2018
Using Attribution to Decode Dataset Bias in Neural Network Models for Chemistry.
CoRR, 2018

2015
Protein Sectors: Statistical Coupling Analysis versus Conservation.
PLoS Comput. Biol., 2015

2011
3D Protein Structure Predicted from Sequence
CoRR, 2011

2010
Charge as a Selection Criterion for Translocation through the Nuclear Pore Complex.
PLoS Comput. Biol., 2010

2009
Action Potential Initiation in the Hodgkin-Huxley Model.
PLoS Comput. Biol., 2009


  Loading...