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2026

Other Outputs

Know your alphabet: conformational noise, latent-space encodings, and the future of structural phylogenetics

Schmid, Madeline, Liu, Yixiao, Malik, Ashar J. and Ascher, David B. (2026). Know your alphabet: conformational noise, latent-space encodings, and the future of structural phylogenetics. doi: 10.64898/2026.05.06.722973

Know your alphabet: conformational noise, latent-space encodings, and the future of structural phylogenetics

2026

Other Outputs

The duplicate monophyly criterion: an empirical approach to bootstrapping distance-based structural phylogenies

Malik, Ashar J. and Ascher, David B. (2026). The duplicate monophyly criterion: an empirical approach to bootstrapping distance-based structural phylogenies. doi: 10.64898/2026.03.25.713827

The duplicate monophyly criterion: an empirical approach to bootstrapping distance-based structural phylogenies

2025

Other Outputs

Quantome: a quantum surrogate model for biophysical landscapes

Malik, Ashar J. and Ascher, David B. (2025). Quantome: a quantum surrogate model for biophysical landscapes. doi: 10.1101/2025.08.06.668871

Quantome: a quantum surrogate model for biophysical landscapes

2025

Other Outputs

On a quantum-inspired kernel for classifying protein torsion angles

Malik, Ashar and Ascher, David (2025). On a quantum-inspired kernel for classifying protein torsion angles. doi: 10.1101/2025.08.05.668681

On a quantum-inspired kernel for classifying protein torsion angles

2025

Other Outputs

On interactive spatial visualisation of pathogenicity predictions

Xu, Junjie, Kovacs, Aaron S., Portelli, Stephanie, Malik, Ashar J. and Ascher, David B. (2025). On interactive spatial visualisation of pathogenicity predictions. doi: 10.1101/2025.03.19.644131

On interactive spatial visualisation of pathogenicity predictions

2024

Other Outputs

On use of tertiary structure characters in hidden Markov models for protein fold prediction

Malik, Ashar J., Puente-Lelièvre, Caroline, Matzke, Nicholas J. and Ascher, David B. (2024). On use of tertiary structure characters in hidden Markov models for protein fold prediction. doi: 10.1101/2024.04.08.588419

On use of tertiary structure characters in hidden Markov models for protein fold prediction

2023

Other Outputs

Tertiary-interaction characters enable fast, model-based structural phylogenetics beyond the twilight zone

Puente-Lelièvre, Caroline, Malik, Ashar J., Douglas, Jordan, Ascher, David B., Baker, Matthew A. B., Allison, Jane R., Poole, Anthony M., Lundin, Daniel, Fullmer, Matthew S., Bouckert, Remco, Kim, Hyunbin, Steinegger, Martin and Matzke, Nicholas J. (2023). Tertiary-interaction characters enable fast, model-based structural phylogenetics beyond the twilight zone. doi: 10.1101/2023.12.12.571181

Tertiary-interaction characters enable fast, model-based structural phylogenetics beyond the twilight zone

2023

Other Outputs

On quantum computing and geometry optimization

Malik, Ashar J. and Verma, Chandra S. (2023). On quantum computing and geometry optimization. doi: 10.1101/2023.03.16.532929

On quantum computing and geometry optimization