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

ML-powered drug discovery pipeline for EGFR cancer target — ChEMBL data, Morgan fingerprints, Random Forest (92.31% accuracy), AutoDock Vina molecular docking & 3D visualization

AI-Driven-Drug-Discovery-for-EGFR-TKI-Resistance-in-NSCLC-Using-Dual-SMILES-Models

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

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

Protein Design Competition

EGFR-AP : Epidermal Growth Factor Receptor-Activity Predictor

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.

The formula of eGFR

EGFRIndb

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

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.

R package for estimating glomerular filtration rate (eGFR)

My first RShiny-WebApp for different laboratory estimations and scores

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

Machine learning framework for discovering potential EGFR inhibitors using molecular fingerprints, RDKit, and Random Forest classification.

GraphEGFR source codes and datasets

Computational drug discovery pipeline for EGFR-targeted therapeutics using docking, molecular dynamics, and protein–ligand interaction analysis.