Cdc6 is sequentially regulated by PP2A-Cdc55, Cdc14, and Sic1 for origin licensing in S. cerevisiae

J Philip, M Örd, A Silva, S Singh, JFX Diffley, D Remus… - Elife, 2022 - elifesciences.org
Cdc6, a subunit of the pre-replicative complex (pre-RC), contains multiple regulatory cyclin-
dependent kinase (Cdk1) consensus sites, SP or TP motifs. In Saccharomyces cerevisiae …

Improved estimation of model quality using predicted inter-residue distance

L Ye, P Wu, Z Peng, J Gao, J Liu, J Yang - Bioinformatics, 2021 - academic.oup.com
Motivation Protein model quality assessment (QA) is an essential component in protein
structure prediction, which aims to estimate the quality of a structure model and/or select the …

Improved protein model quality assessment by integrating sequential and pairwise features using deep learning

X Jing, J Xu - Bioinformatics, 2020 - academic.oup.com
Motivation Accurately estimating protein model quality in the absence of experimental
structure is not only important for model evaluation and selection but also useful for model …

Protein model quality assessment using rotation‐equivariant transformations on point clouds

S Eismann, P Suriana, B Jing… - Proteins: Structure …, 2023 - Wiley Online Library
Abstract Machine learning research concerning protein structure has seen a surge in
popularity over the last years with promising advances for basic science and drug discovery …

ProFitFun: a protein tertiary structure fitness function for quantifying the accuracies of model structures

R Kaushik, KYJ Zhang - Bioinformatics, 2022 - academic.oup.com
Motivation An accurate estimation of the quality of protein model structures typifies as a
cornerstone in protein structure prediction regimes. Despite the recent groundbreaking …

[HTML][HTML] Ligand-Receptor Interactions of Lamivudine: A View from Charge Density Study and QM/MM Calculations

AA Korlyukov, AI Stash, AR Romanenko, D Trzybiński… - Biomedicines, 2023 - mdpi.com
The nature and strength of interactions for an anti-HIV drug, Lamivudine, were studied in a
pure crystal form of the drug and the ligand–receptor complexes. High-resolution single …

Protein model quality assessment using rotation-equivariant, hierarchical neural networks

S Eismann, P Suriana, B Jing, RJL Townshend… - arXiv preprint arXiv …, 2020 - arxiv.org
Proteins are miniature machines whose function depends on their three-dimensional (3D)
structure. Determining this structure computationally remains an unsolved grand challenge …

AlphaFold2 Predicts Whether Proteins Interact Amidst Confounding Structural Compatibility

J Martin - Journal of Chemical Information and Modeling, 2024 - ACS Publications
Predicting whether two proteins physically interact is one of the holy grails of computational
biology, galvanized by rapid advancements in deep learning. AlphaFold2, although not …

Performance and enhancement of the LZerD protein assembly pipeline in CAPRI 38‐46

C Christoffer, G Terashi, WH Shin… - Proteins: Structure …, 2020 - Wiley Online Library
We report the performance of the protein docking prediction pipeline of our group and the
results for Critical Assessment of Prediction of Interactions (CAPRI) rounds 38‐46. The …

A free-energy principle for representation learning

Y Gao, P Chaudhari - International Conference on Machine …, 2020 - proceedings.mlr.press
This paper employs a formal connection of machine learning with thermodynamics to
characterize the quality of learnt representations for transfer learning. We discuss how …