cesco345
Field Applications Scientist at Olympus. Work with CCD, CMOS cameras and sensors for Life Science & Semiconductor applications. Volunteer at Open Source site.
Stem-ApksNewport County, RI
Pinned Repositories
Android_applications
cesco345
GitHub profile README
coursera-android
Source Code for Android Course Example Applications
CreateTrainFilesTesseract-OCR
How to create files/documents/images in order to train and improve object character recognition of Tesseract-OCR
FLTK
Working with the fltk library
opencv
OpenCV-on-Windows-from-Command-Line
This is a repository that will hold all the files and tutorial information for running OpenCV on a native C++ Windows-based Command Prompt
OpenCV-With-the-ODROID-XU4Q
opencv_python_examples
OpenCV Python Examples
StemApks
cesco345's Repositories
cesco345/cesco345
GitHub profile README
cesco345/mAb-Stability-Predictor
This repository contains a computational pipeline to predict the stability of monoclonal antibodies (mAbs) using PyTorch and PyRosetta. Uses PDB information, calculates features relevant to stability, and trains a neural network model to predict stability scores. It aims to aid drug discovery by providing insights in into the stability of mAbs
cesco345/mAbsAntibodyDiscovery
mAb-QualityPredictor: A PyTorch-based Machine Learning Model for Predicting Monoclonal Antibody Quality
cesco345/advent
cesco345/apollo_graphql_server
cesco345/BusinesCard
I try to make apps that solve a particular issue that I may encounter in my daily life. In this case, a business card application that replaces the use of paper business cards and allows you to send messages bypassing LinkedIn, or if you prefer to use LinkedIn, it has a QR code functionality that redirects you to a LinkedIn profile or other URL.
cesco345/cell_penetrating_peptides_predictor
This Jupyter notebook demonstrates the potential of machine learning in predicting cell-penetrating peptides, while also highlighting the importance of combining data-driven approaches with domain expertise in bioinformatics research.
cesco345/e_coli-protein-analysis
This code demonstrates how to use PyTorch to process the E. coli dataset and train a simple neural network for classification. If you want to use this data with AlphaFold 3 or a similar protein structure prediction model, you would need: The actual amino acid sequences of the proteins, not just the features provided in this dataset.
cesco345/Fetch_PDB_Data
ProteinVisualizer is a React Native application built with Expo that allows users to fetch and visualize protein structure data from the PDB database. The application provides detailed information about the protein, including its ID, and molecular weight. Users can also download the PDB data locally or upload it to GoogleDrive.
cesco345/fileUploaderToDatabase
cesco345/GippityQuiz
This is a quiz where the questions and correct answers on various subjects are provided by a LLM. The user can change the prompt depending on the subject matter.
cesco345/helmholtz1
cesco345/img_uploader_toDatabase
This is an image uploader to Supabase based on Simon Grimm's lectures.
cesco345/insci_bio_parkinsons
This is a basic toolkit for analyzing exosomal proteins in various datasets, with a focus on Parkinson's Disease. This toolkit enables researchers to identify novel exosomal proteins, compare them with existing databases, and perform Gene Ontology (GO) enrichment analysis. Results are visualized in Matplotlib and other Python ecosystem tools.
cesco345/Intro2DeepLearning
The final model not only demonstrates the power of deep learning in creative applications but also provides a hands-on example of end-to-end machine learning pipeline development, from data processing and model training to deployment and inference. By completing this project, we've gained valuable experience in deep learning, RNNs and modeling.
cesco345/molecular_biology_meanderings
This is a Jupyter notebook I have put together some of these equations together with some viualizations and code snippets in Python. These visualizations provide different ways to interpret the data and results: Histograms show the distribution of predicted scores or values. Heatmaps visualize 2D data.
cesco345/price_tracker_app
Price_tracker
cesco345/protein-data-collector
This setup fetches protein data from UniProt and PDB and logs the combined data to the console and saves it in a text file for further AI training and validation. Adjust the query and data handling as needed for your specific use case. You can also integrate the amino acid composition calculation into your project.
cesco345/protein_solubility_prediction
A Python-based protein solubility prediction tool, building on the Protein-sol algorithm developed by the Warwicker group at the University of Manchester.
cesco345/ProteinQualityAnalysis
Protein quality analysis plays a crucial role in ensuring efficacy and safety in the production of monoclonal antibodies, hormones, and enzymes. Protein quality analysis is essential to ensure that these therapeutic proteins are correctly folded, have the desired post-translational modifications ensuring their efficacy and safety for clinical use.
cesco345/pyrosetta
This jupyter notebook is based on the workshop modules that were created at the Homewood campus of Johns Hopkins University during Spring 2008 and Spring 2009, for the Chemical & Biomolecular Engineering class “Computational Protein Structure Prediction and Design. These have been updated to be used with Python 3 and other recently developed tools.
cesco345/pyrosetta_intro
Welcome to my PyRosetta repository! PyRosetta is an interactive Python-based interface to the powerful Rosetta molecular modeling suite, allowing users to leverage Rosetta’s capabilities for protein structure prediction, design, and analysis in a flexible and user-friendly environment.
cesco345/QuizProt
A React Native Quiz App that provides a seamless and interactive experience for users to take quizzes. The app features custom components for displaying questions, options, and navigating through the quiz. Perfect for educational purposes or just for fun!
cesco345/react_testing_app
cesco345/social_net
cesco345/SolScore
Solubility Score Prediction Application - A React Native application with a Node.js backend that predicts protein solubility scores using machine learning models and the OpenAI API.
cesco345/StableProt
A React Native app with Expo for calculating protein stability scores based on input protein sequences and experimental conditions. The app allows users to input protein data and specify stability parameters.
cesco345/supabased_based_multichannel
cesco345/translator
This is a application that translates from different languages based on the idea of Carnegie Mellon University professor Luis von Ahn.
cesco345/vina_docking_dopamine
This project demonstrates a molecular docking workflow for studying the interaction between the dopamine D2 receptor and risperidone using AutoDock Vina and ChimeraX. This setup can be applied to study other protein-ligand interactions, providing insights into potential drug binding modes and affinities.