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Novo Nordisk github repository
Github Repository, supplied by Novo Nordisk, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/github+repositories/github+repository/pmc12561900-243-11-14
Average 86 stars, based on 1 article reviews

github repository - by Bioz Stars, 2026-10

86/100 stars

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Article Title: The combination of zalfermin and semaglutide has additive therapeutic effects in a diet-induced obese and biopsy-confirmed mouse model of MASH
Article Snippet: The code used to generate the results is available in the GitHub repository ( https://github.com/novonordisk-research/Zalfermin_liver_RNAseq ).

Article Title: Structure-Based Computational Scanning of Chemical Modification Sites in Biologics.
Article Snippet: The additional scripts can be found in the GitHub repository (https://github.com/novonordisk-research/nnprotscan). rosetta_matcher.py: import os import shutil import glob import subprocess import pandas as pd import numpy as np from multiprocessing import Pool import matplotlib matplotlib.use("Agg") import matplotlib.pyplot as plt import seaborn as sns from rdkit import Chem S9 from rdkit.Chem import AllChem from Bio.SeqUtils import seq1 as seq3to1 from Bio.PDB import PDBParser from .linkage_model import LinkageModel LIGAND_RES = "LIG" LIGAND_CHAIN = "X" INTERFACE_CUTOFF = 10.0 # A MATCH_CST_SCORE_CUTOFF = 20.0 INTERFACE_SCORE_CUTOFF = 0.0 NUM_CONFORMERS_CUTOFF = 1 PACKING_FLAGS = [ "-ex1", "-ex2", "-ex1aro", "-ex2aro", "-no_optH false", S10 "-flip_HNQ", "-use_input_sc", "-linmem_ig 10", "-no_his_his_pairE" ] # try and guess the location of ROSETTA_HOME # this is helpful when rosetta has been loaded through environment modules as on a HPC cluster if not "ROSETTA_HOME" in os.environ: x = shutil.which("match.linuxgccrelease") if x is not None: os.environ["ROSETTA_HOME"] = os.path.dirname(os.path.dirname(x)) def _check_rosetta_binary(binary, relpath=""): msg = "Rosetta binary path not found.

Article Title: Data-driven identification of predictive risk biomarkers for subgroups of osteoarthritis using interpretable machine learning
Article Snippet: Source data that is not patient-sensitive data are provided with this paper to reproduce figures and tables in the main manuscript in https://github.com/novonordisk-research/xOAML , including links to any publicly-available datasets used in the analyses.

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