[HTML][HTML] Limitations and challenges in protein stability prediction upon genome variations: towards future applications in precision medicine
Protein stability predictions are becoming essential in medicine to develop novel
immunotherapeutic agents and for drug discovery. Despite the large number of …
immunotherapeutic agents and for drug discovery. Despite the large number of …
CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods
S Jain, C Bakolitsa, SE Brenner, P Radivojac… - Genome …, 2024 - lirias.kuleuven.be
Abstract Background: The Critical Assessment of Genome Interpretation (CAGI) aims to
advance the state-of-the-art for computational prediction of genetic variant impact …
advance the state-of-the-art for computational prediction of genetic variant impact …
SAAFEC-SEQ: a sequence-based method for predicting the effect of single point mutations on protein thermodynamic stability
Modeling the effect of mutations on protein thermodynamics stability is useful for protein
engineering and understanding molecular mechanisms of disease-causing variants. Here …
engineering and understanding molecular mechanisms of disease-causing variants. Here …
Analysis and interpretation of the impact of missense variants in cancer
Large scale genome sequencing allowed the identification of a massive number of genetic
variations, whose impact on human health is still unknown. In this review we analyze, by an …
variations, whose impact on human health is still unknown. In this review we analyze, by an …
CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods
Genome biology, 2024 - Springer
Abstract Background The Critical Assessment of Genome Interpretation (CAGI) aims to
advance the state-of-the-art for computational prediction of genetic variant impact …
advance the state-of-the-art for computational prediction of genetic variant impact …
Predicting the stability of mutant proteins by computational approaches: an overview
A Marabotti, B Scafuri, A Facchiano - Briefings in Bioinformatics, 2021 - academic.oup.com
A very large number of computational methods to predict the change in thermodynamic
stability of proteins due to mutations have been developed during the last 30 years, and …
stability of proteins due to mutations have been developed during the last 30 years, and …
A deep-learning sequence-based method to predict protein stability changes upon genetic variations
Several studies have linked disruptions of protein stability and its normal functions to
disease. Therefore, during the last few decades, many tools have been developed to predict …
disease. Therefore, during the last few decades, many tools have been developed to predict …
[HTML][HTML] Protein structure-based evaluation of missense variants: resources, challenges and future directions
A David, MJE Sternberg - Current Opinion in Structural Biology, 2023 - Elsevier
We provide an overview of the methods that can be used for protein structure-based
evaluation of missense variants. The algorithms can be broadly divided into those that …
evaluation of missense variants. The algorithms can be broadly divided into those that …
Reports from the fifth edition of CAGI: The Critical Assessment of Genome Interpretation
G Andreoletti, LR Pal, J Moult, SE Brenner - Human mutation, 2019 - Wiley Online Library
Abstract Interpretation of genomic variation plays an essential role in the analysis of cancer
and monogenic disease, and increasingly also in complex trait disease, with applications …
and monogenic disease, and increasingly also in complex trait disease, with applications …
Comparing Supervised Learning and Rigorous Approach for Predicting Protein Stability upon Point Mutations in Difficult Targets
J Kurniawan, T Ishida - Journal of Chemical Information and …, 2023 - ACS Publications
Accurate prediction of protein stability upon a point mutation has important applications in
drug discovery and personalized medicine. It remains a challenging issue in computational …
drug discovery and personalized medicine. It remains a challenging issue in computational …