Paper-Conference

Antimicrobial resistance prediction in Acinetobacter baumannii using collaborative matrix factorization
Antimicrobial resistance (AMR) is a phenomenon which enables bacteria to survive against antibiotics and becomeresistant to them. AMR …
Cite CIVILICA
Enhancing Predictive Accuracy of Biomolecules Partition Coefficients in Aqueous Two-Phase Systems Using Machine Learning
Information about the pharmaceutical and biotech industries has experienced remarkablegrowth in recent years. Biological processes …
Cite CIVILICA
Improvement of peptide-HLA class I prediction using transformers
Since Human leukocyte antigen (HLA) can bind foreign peptides to present them to specialized immune cells andinitiate an immune …
Cite CIVILICA
Predicting Adverse Drug Reactions Using Computational Methods: An Analysis of Drug and Adverse Reaction Features and Representations
Identifying and controlling adverse drug reactions is a complex problem in the pharmacological field. Despite the studies done in …
Cite CIVILICA
Computational Analysis of Nanoparticle Features on Protein Corona Composition in Biological Nanoparticle-Protein Interactions
The key role of protein-nanoparticle (NP) interactions in biological mediums has begun to emerge recently with the development of the …
Cite DOI
Protein design using native secondary sub-structures and solvent accessibility
According to structure-dependent function of proteins, two main challenging problems called Protein Structure Prediction (PSP) and …
Cite CIVILICA
Transcription factor binding sites identification on human genome using an artificial neural network
Transcription factor binding sites on human DNA are the target locations of specific proteins called transcription factors. Gene …
Cite DOI