nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
Advancing rigorous science and open access dissemination: A vision for computational and structural biotechnology reports
|
Wei, Zhi |
|
|
1 |
C |
p. |
artikel |
2 |
A practical study of the proportion of non-unique neighbor-joining trees of microsatellite markers
|
Segura-Alabart, Natàlia |
|
|
1 |
C |
p. |
artikel |
3 |
Artificial intelligence in orthopaedic surgery: A comprehensive review of current innovations and future directions
|
Tafat, Wissem |
|
|
1 |
C |
p. |
artikel |
4 |
Caseinolytic protease P (ClpP) is a c-di-GMP effector protein modulating motility, biofilm and virulence in Stenotrophomonas maltophilia
|
Deng, Jie |
|
|
1 |
C |
p. |
artikel |
5 |
Causal estimation of maternal-offspring gut commensal bacterial associations under livestock grazing management conditions
|
Taguchi, Yutaka |
|
|
1 |
C |
p. |
artikel |
6 |
Characterization and expression of the microtubule associated protein tau gene isoforms and their impact on clinical outcomes in glioma patients
|
Hidalgo, Axel M. |
|
|
1 |
C |
p. |
artikel |
7 |
Comparison of classical Machine Learning-based algorithms to predict Triplex Forming Oligonucleotides
|
Hincapié-López, Martha |
|
|
1 |
C |
p. |
artikel |
8 |
Deep learning for breast cancer diagnosis: A bibliometric analysis and future research directions
|
Oladimeji, Oladosu Oyebisi |
|
|
1 |
C |
p. |
artikel |
9 |
Dynamics of cascading failures in biological networks
|
Zhou, Rong |
|
|
1 |
C |
p. |
artikel |
10 |
Esophageal viral and bacterial microbiome unbalances characterize achalasia
|
Massimino, Luca |
|
|
1 |
C |
p. |
artikel |
11 |
Evaluating the 3D structure prediction tools to identify optimal MEBPVC structure models
|
Sahoo, Partha Sarathi |
|
|
1 |
C |
p. |
artikel |
12 |
Exploring the synergy of artificial intelligence in microbiology: Advancements, challenges, and future prospects
|
Mohseni, Parvin |
|
|
1 |
C |
p. |
artikel |
13 |
Hugging Face's impact on medical applications of artificial intelligence
|
Riva, Matteo |
|
|
1 |
C |
p. |
artikel |
14 |
Ligand-based pharmacophore modeling targeting the fluoroquinolone antibiotics to identify potential antimicrobial compounds
|
Ananna, Natasha Farhin |
|
|
1 |
C |
p. |
artikel |
15 |
Ligand-based pharmacophore modeling, virtual screening, and molecular dynamics simulations of Pfhsp90 fingerprints in Plasmodium malaria treatment
|
Onyango, Harrison |
|
|
1 |
C |
p. |
artikel |
16 |
Machine learning driven image segmentation and shape clustering of algal microscopic images obtained from various water types
|
Nelli, Filippo |
|
|
1 |
C |
p. |
artikel |
17 |
Prediction of electronic density of states in guanine-TiO2 adsorption model based on machine learning
|
Çetin, Yarkın A. |
|
|
1 |
C |
p. |
artikel |
18 |
ProteoDockNet: Novel GNN-based ligand binding affinities prediction architecture via SMILES to key liver, kidney and brain proteins using QSAR data
|
Setlur, Anagha S |
|
|
1 |
C |
p. |
artikel |
19 |
Receptor cavity-based screening reveals potential allosteric modulators of gonadotropin receptors in carp (Cyprinus carpio)
|
Atre, Ishwar |
|
|
1 |
C |
p. |
artikel |
20 |
Sex-specific causal effects of serum sex hormones on COVID-19 susceptibility and severity: Evidence from the UK Biobank and COVID-19 Host Genetics Initiative
|
Zhao, Jian |
|
|
1 |
C |
p. |
artikel |
21 |
Single-click molecular docking via SwiftDock: A new virtual screening tool using AutoDock4
|
Larbaoui, Billel |
|
|
1 |
C |
p. |
artikel |
22 |
Testing AI predictions that hyperglycemia-induced non-enzymatic glycation of immune system proteins impairs diabetic immunity
|
Turkette, Thomas |
|
|
1 |
C |
p. |
artikel |
23 |
Towards improved breast cancer detection via multi-modal fusion and dimensionality adjustment
|
Abdullakutty, Faseela |
|
|
1 |
C |
p. |
artikel |
24 |
Unveiling pathogenesis and therapeutic targets of metastatic breast cancer through sparse modeling of genomic landscape
|
Pu, Mengchen |
|
|
1 |
C |
p. |
artikel |