Associated Papers
Classification of MLH1 Missense VUS Using Protein Structure-Based Deep Learning-Ramachandran Plot-Molecular Dynamics Simulations Method.
Tam B et al.
International Journal of Molecular Sciences, 2024
38255924 (PubMed )
Supplement: ijms-25-00850-s001.zip › Supplementary_Table_S1.xlsx › Sheet1
Prevalence and spectrum of DNA mismatch repair gene variation in the general Chinese population.
Zhang L et al.
Journal of Medical Genetics, 2022
34172528 (PubMed )
Supplement: jmedgenet-2021-107886supp003.xlsx › MLH1
Prevalence of Germline Sequence Variations Among Patients With Pancreatic Cancer in China.
Yin L et al.
Jama Network Open, 2022
35171259 (PubMed )
Supplement: jamanetwopen-e2148721-s001.pdf
Functional analysis of rare variants in mismatch repair proteins augments results from computation-based predictive methods.
Arora S et al.
Cancer Biology & Therapy, 2017
Classification of Amino Acid Substitutions in Mismatch Repair Proteins Using PON-MMR2.
Niroula A et al.
Human Mutation, 2015
26333163 (PubMed )
Supplement: supplement_1.pdf
Missense mutations of MLH1 and MSH2 genes detected in patients with gastrointestinal cancer are associated with exonic splicing enhancers and silencers.
Zhu M et al.
Oncology Letters, 2013
Classification of mismatch repair gene missense variants with PON-MMR.
Ali H et al.
Human Mutation, 2012
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