PreprintLicence not statedChemRxiv
In silico cyclic-minipeptides predicting antibody-free early-diagnosis of Ebola virus
Related
- Advancing In Silico Drug Design with Bayesian Refinement of AlphaFold Models
- Integrated in vitro cytotoxicity and in silico safety profiling of glycerol-derived ethers based deep eutectic systems
- In Silico Design and Structural Validation ofEpitope-Based Vaccine Candidates Against Feline Calicivirus using Immunoinformatics
- Modulation of EMT-related gene expression in colorectal cancer by carvacrol-conjugated ZnO nanoparticles: an integrated in silico and in vitro study
- Exploratory Analysis of the Effects of Thymoquinone Alone and in Combination with 5-Fluorouracil on Inflammatory Mediators in Colorectal Cancer Cells: An In Vitro and In Silico Study
BibTeX
@misc{coll2026silico,
title = {{In silico cyclic-minipeptides predicting antibody-free early-diagnosis of Ebola virus}},
author = {Julio Coll},
howpublished = {ChemRxiv},
year = {2026},
month = nov,
doi = {10.26434/chemrxiv.15011575/v1},
url = {https://chemrxiv.org/doi/full/10.26434/chemrxiv.15011575/v1},
}
RIS
TY - UNPB
TI - In silico cyclic-minipeptides predicting antibody-free early-diagnosis of Ebola virus
AU - Julio Coll
PY - 2026
DA - 2026/11/03
PB - ChemRxiv
DO - 10.26434/chemrxiv.15011575/v1
UR - https://chemrxiv.org/doi/full/10.26434/chemrxiv.15011575/v1
ER -