Cdc6 is sequentially regulated by PP2A-Cdc55, Cdc14, and Sic1 for origin licensing in S. cerevisiae
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 …
dependent kinase (Cdk1) consensus sites, SP or TP motifs. In Saccharomyces cerevisiae …
Improved estimation of model quality using predicted inter-residue distance
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 …
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
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 …
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
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 …
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 …
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 …
pure crystal form of the drug and the ligand–receptor complexes. High-resolution single …
Protein model quality assessment using rotation-equivariant, hierarchical neural networks
Proteins are miniature machines whose function depends on their three-dimensional (3D)
structure. Determining this structure computationally remains an unsolved grand challenge …
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 …
biology, galvanized by rapid advancements in deep learning. AlphaFold2, although not …
Performance and enhancement of the LZerD protein assembly pipeline in CAPRI 38‐46
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 …
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 …
characterize the quality of learnt representations for transfer learning. We discuss how …