Intrinsically disordered proteins: an overview

R Trivedi, HA Nagarajaram - International journal of molecular sciences, 2022 - mdpi.com
Many proteins and protein segments cannot attain a single stable three-dimensional
structure under physiological conditions; instead, they adopt multiple interconverting …

Graph denoising diffusion for inverse protein folding

K Yi, B Zhou, Y Shen, P Liò… - Advances in Neural …, 2024 - proceedings.neurips.cc
Inverse protein folding is challenging due to its inherent one-to-many mapping
characteristic, where numerous possible amino acid sequences can fold into a single …

Performance optimization in DNA short-read alignment

R Wilton, AS Szalay - Bioinformatics, 2022 - academic.oup.com
Over the past decade, short-read sequence alignment has become a mature technology.
Optimized algorithms, careful software engineering and high-speed hardware have …

D eepafp: an effective computational framework for identifying antifungal peptides based on deep learning

L Yao, Y Zhang, W Li, CR Chung, J Guan… - Protein …, 2023 - Wiley Online Library
Fungal infections have become a significant global health issue, affecting millions
worldwide. Antifungal peptides (AFPs) have emerged as a promising alternative to …

Fancy seeing you here… again: Uncovering individual‐level panel data in repeated cross‐sectional surveys

B Geys - Public Administration Review, 2023 - Wiley Online Library
Abstract Many theories in Public Administration and Public Management explicitly relate to
changes over time in the attitudes, values, perceptions, and/or motivations of public‐sector …

Insights from analyses of low complexity regions with canonical methods for protein sequence comparison

P Jarnot, J Ziemska-Legiecka… - Briefings in …, 2022 - academic.oup.com
Low complexity regions are fragments of protein sequences composed of only a few types of
amino acids. These regions frequently occur in proteins and can play an important role in …

Quantum algorithm for bioinformatics to compute the similarity between proteins

A Chagneau, Y Massaoudi, I Derbali… - IET Quantum …, 2024 - Wiley Online Library
Drug discovery has become a main challenge in the society, following the COVID‐19
pandemic. However, pharmaceutical companies are already using computing to accelerate …

[HTML][HTML] Quantifying prediction of pathogenicity for within-codon concordance (PM5) using 7541 functional classifications of BRCA1 and MSH2 missense variants

L Loong, C Cubuk, S Choi, S Allen, B Torr, A Garrett… - Genetics in …, 2022 - Elsevier
Purpose Conditions and thresholds applied for evidence weighting of within-codon
concordance (PM5) for pathogenicity vary widely between laboratories and expert groups …

Multi-proximity based embedding scheme for learning vector quantization-based classification of biochemical structured data

KS Bohnsack, J Voigt, M Kaden, F Heinke, T Villmann - Neurocomputing, 2023 - Elsevier
In this paper, we propose a data embedding technique for structured data that allows for the
direct application of standard vector-based machine learning models without the need for …

Proteome-Wide Structural Computations Provide Insights into Empirical Amino Acid Substitution Matrices

P Aledo, JC Aledo - International Journal of Molecular Sciences, 2023 - mdpi.com
The relative contribution of mutation and selection to the amino acid substitution rates
observed in empirical matrices is unclear. Herein, we present a neutral continuous fitness …