nidhinthomas-ai
Computational scientist | Molecular Dynamics
Novo Nordisk Research Center Inc. Seattle, WA
Pinned Repositories
AdQuest-Synthetic-Adversarial-Dataset-for-QA-Models
Augmenting the robustness of ELECTRA-Small Question-Answering model using AdQuest, a synthetic adversarial dataset
amberMD
Computational workflow to run MD simulations in AMBER Software.
BBBP_MPNN
Blood-Brain-Barrier Permeability Prediction Using MPNN network
Drug_Discovery_Portal
A collection of web applications to help scientists in computational drug discovery.
ESM-PTM
Prediction of N-Glycosylation Sites in Proteins Using ESM Language Model and Deep Learning
ESM_FineTuning
This repository contains some scripts and Jupyter notebooks exploring how we can fine tune ESM2 protein language model for our custom requirements.
MemProt4MD
A tool to embed transmembrane proteins into lipid membranes using PPM and Packmol
N_Glycan_Epitope_Mapping
This repository describes the workflow for the computational modeling of glycoslylation of protein residues using Rosetta Matcher Protocol.
ViT_ChestXRay_Classification
Fine-tuning of pretrained ViT model for chest X-Ray image classification to detect lung viral infection.
XraySAM
Lung segmentation using fine-tuned model of "Segment Anything" model (SAM) from Meta.
nidhinthomas-ai's Repositories
nidhinthomas-ai/AdQuest-Synthetic-Adversarial-Dataset-for-QA-Models
Augmenting the robustness of ELECTRA-Small Question-Answering model using AdQuest, a synthetic adversarial dataset
nidhinthomas-ai/BBBP_MPNN
Blood-Brain-Barrier Permeability Prediction Using MPNN network
nidhinthomas-ai/ESM_FineTuning
This repository contains some scripts and Jupyter notebooks exploring how we can fine tune ESM2 protein language model for our custom requirements.
nidhinthomas-ai/ViT_ChestXRay_Classification
Fine-tuning of pretrained ViT model for chest X-Ray image classification to detect lung viral infection.
nidhinthomas-ai/XraySAM
Lung segmentation using fine-tuned model of "Segment Anything" model (SAM) from Meta.
nidhinthomas-ai/amberMD
Computational workflow to run MD simulations in AMBER Software.
nidhinthomas-ai/Enrichment_Factor
Filtering PROTAC ternary structures to improve Enrichment Factor.
nidhinthomas-ai/ESM-PTM
Prediction of N-Glycosylation Sites in Proteins Using ESM Language Model and Deep Learning
nidhinthomas-ai/MemProt4MD
A tool to embed transmembrane proteins into lipid membranes using PPM and Packmol
nidhinthomas-ai/N_Glycan_Epitope_Mapping
This repository describes the workflow for the computational modeling of glycoslylation of protein residues using Rosetta Matcher Protocol.
nidhinthomas-ai/gmx_MMPBSA
gmx_MMPBSA is a new tool based on AMBER's MMPBSA.py aiming to perform end-state free energy calculations with GROMACS files.
nidhinthomas-ai/GNN_PPI
Codes and models for the paper "Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction".
nidhinthomas-ai/MemProtSim
A workflow to run MD simulations of membrane-protein complex using AMBER.
nidhinthomas-ai/PaperBot
nidhinthomas-ai/pdb-tools
A dependency-free cross-platform swiss army knife for PDB files.
nidhinthomas-ai/PepBot
nidhinthomas-ai/PyAutoFEP
PyAutoFEP: an automated FEP workflow for GROMACS integrating enhanced sampling methods
nidhinthomas-ai/Rosetta_Score_b_factor
This script takes a pdb file generated by Rosetta and extracts the Rosetta Score. Later, adds the rosetta scores to the PDB file as b-factor. The Jupyter notebook describes the code and plots the structure of the protein using Py3Dmol and colors the structure based on b-factor.