Shaun M. Kandathil

According to our database, Shaun M. Kandathil authored at least 6 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Foldclass and Merizo-search: scalable structural similarity search for single- and multi-domain proteins using geometric learning.

Shaun M. Kandathil, Andy M. Lau, Daniel W. A. Buchan, David T. Jones

Bioinform., 2025

2018

High precision in protein contact prediction using fully convolutional neural networks and minimal sequence features.

David T. Jones, Shaun M. Kandathil

Bioinform., 2018

2017

On heuristic bias in fragment-assembly methods for protein structure prediction.

Julia Handl, Mario Garza-Fabre, Shaun M. Kandathil, Simon C. Lovell

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

Generating, Maintaining, and Exploiting Diversity in a Memetic Algorithm for Protein Structure Prediction.

Mario Garza-Fabre, Shaun M. Kandathil, Julia Handl, Joshua D. Knowles, Simon C. Lovell

Evol. Comput., 2016

2015

Using Machine Learning to Explore the Relevance of Local and Global Features During Conformational Search in Rosetta.

Mario Garza-Fabre, Shaun M. Kandathil, Julia Handl, Joshua D. Knowles, Simon C. Lovell

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

2013

Accuracy and tractability of a kriging model of intramolecular polarizable multipolar electrostatics and its application to histidine.

Shaun M. Kandathil, Timothy L. Fletcher, Yongna Yuan, Joshua D. Knowles, Paul L. A. Popelier

J. Comput. Chem., 2013