egfr

Drug effect prediction using neural network

Gene and Primer Sequence Analysis for SARS-CoV-2, EGFR(Non Small Lung Cancer Cell), Influenza DNAs ### How can I check my Oligo primers to ensure there are no significant primer design issues? - The difference between melting temperatures (Tm) of the primers should be less than 5°C. - The GC content should be between 35-80% or equivalent to the …

LigEGFR: Spatial graph embedding and molecular descriptors assisted bioactivity prediction of ligand molecules for epidermal growth factor receptor on a cell line-based dataset

Free clinical calculators and medical reference tools for healthcare professionals. 100+ evidence-based tools including eGFR, BMI, A1C, MELD, CHA₂DS₂-VASc, and more.

Structural bioinformatics analysis of the EGFR T790M drug-resistance mutation using BioPython, protein structure analysis, ligand interaction mapping, and mutation characterization.

De novo computational design of tumor-selective pH-conditional (pH 6.5 vs 7.4), cross-species EGFR miniprotein binders for the Anthropic × Adaptyv 2026 Challenge.

Open-source medical calculator formulas and clinical scoring systems. Reference implementations for eGFR, BMI, MELD, CHA₂DS₂-VASc, A1C, and 100+ more. Used by mdtools.org.

Mechanistic digital twin for Type 2 Diabetes → CKD, modeling renal decline through hyperfiltration dynamics, interpretable parameters, Bayesian inference, and AI.

Protein Design Competition

R package for estimating glomerular filtration rate (eGFR)

EGFR-AP : Epidermal Growth Factor Receptor-Activity Predictor

My first RShiny-WebApp for different laboratory estimations and scores

EGFRIndb

The formula of eGFR

임상 검사 수치·약동학 통합 계산 API

EGFR target - potency and ADMET QSAR

Protein design research from the 2026 Anthropic x Adaptyv competition: conditional EGFR binders, final 18 designs, methods, evidence and debugging lessons.

Reproducible benchmark of classical molecular graph descriptors against RDKit2D and ECFP4 for EGFR pIC50 prediction under scaffold and chemical-space shift.

Computational docking project of EGFR wildtype and clinically relevant mutants (L858R, T790M, Exon20ins) with first-, second-, and third-generation TKIs. Includes automated data fetching, preprocessing, docking with AutoDock Vina, and statistical analysis of binding affinities.

AI-assisted structure-based drug discovery workflow for EGFR T790M resistance mutation using molecular docking, interaction analysis, and lead prioritization.