| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
AI4DR: Development and implementation of an annotation system for high-throughput dose-response experiments
|
Bianciotto, Marc
|
|
|
3 |
C |
p.
|
article
|
| 2 |
An improved 3D quantitative structure-activity relationships (QSAR) of molecules with CNN-based partial least squares model
|
Huo, Xuxiang
|
|
|
3 |
C |
p.
|
article
|
| 3 |
Application of AI techniques and robotics in agriculture: A review
|
Wakchaure, Manas
|
|
|
3 |
C |
p.
|
article
|
| 4 |
Artificial intelligence systems for the design of magic shotgun drugs
|
Moreira-Filho, José Teófilo
|
|
|
3 |
C |
p.
|
article
|
| 5 |
Bayesian optimization for ternary complex prediction (BOTCP)
|
Rao, Arjun
|
|
|
3 |
C |
p.
|
article
|
| 6 |
Combining molecular and cell painting image data for mechanism of action prediction
|
Tian, Guangyan
|
|
|
3 |
C |
p.
|
article
|
| 7 |
Conformal efficiency as a metric for comparative model assessment befitting federated learning
|
Heyndrickx, Wouter
|
|
|
3 |
C |
p.
|
article
|
| 8 |
Corrigendum to “Optimizing active learning for free energy Calculations” [Artificial Intelligence in the Life Sciences, 2 (2022) 100050]
|
Thompson, James
|
|
|
3 |
C |
p.
|
article
|
| 9 |
Data science and data analytics in life science research
|
Bajorath, Jürgen
|
|
|
3 |
C |
p.
|
article
|
| 10 |
Deep graph learning in molecular docking: Advances and opportunities
|
Sánchez-Cruz, Norberto
|
|
|
3 |
C |
p.
|
article
|
| 11 |
Deep metric learning for the classification of MALDI-TOF spectral signatures from multiple species of neotropical disease vectors
|
Merchan, Fernando
|
|
|
3 |
C |
p.
|
article
|
| 12 |
Designing microplate layouts using artificial intelligence
|
Francisco Rodríguez, María Andreína
|
|
|
3 |
C |
p.
|
article
|
| 13 |
Discovery of novel A2AR antagonists through deep learning-based virtual screening
|
Tang, Miru
|
|
|
3 |
C |
p.
|
article
|
| 14 |
Editorial Board
|
|
|
|
3 |
C |
p.
|
article
|
| 15 |
Elucidating dynamic cell lineages and gene networks in time-course single cell differentiation
|
Zhang, Mengrui
|
|
|
3 |
C |
p.
|
article
|
| 16 |
Erratum regarding missing Conflict of Interest Statement & Ethical Statement in previously published articles
|
|
|
|
3 |
C |
p.
|
article
|
| 17 |
Exploring chemical space — Generative models and their evaluation
|
Vogt, Martin
|
|
|
3 |
C |
p.
|
article
|
| 18 |
Machine learning for longitudinal mortality risk prediction in patients with malignant neoplasm in São Paulo, Brazil
|
Silva, GFS
|
|
|
3 |
C |
p.
|
article
|
| 19 |
Machine learning for small molecule drug discovery in academia and industry
|
Volkamer, Andrea
|
|
|
3 |
C |
p.
|
article
|
| 20 |
Natural products subsets: Generation and characterization
|
Chávez-Hernández, Ana L.
|
|
|
3 |
C |
p.
|
article
|
| 21 |
Pharmaceutical patent landscaping: A novel approach to understand patents from the drug discovery perspective
|
Gadiya, Yojana
|
|
|
3 |
C |
p.
|
article
|
| 22 |
piCRISPR: Physically informed deep learning models for CRISPR/Cas9 off-target cleavage prediction
|
Störtz, Florian
|
|
|
3 |
C |
p.
|
article
|
| 23 |
Specific contributions of artificial intelligence to interdisciplinary life science research – exploring and communicating new opportunities
|
Bajorath, Jürgen
|
|
|
3 |
C |
p.
|
article
|
| 24 |
Trends and challenges in chemoinformatics research in Latin America
|
Miranda-Salas, Jazmín
|
|
|
3 |
C |
p.
|
article
|
| 25 |
Using ontologies for life science text-based resource organization
|
Panzarella, Giulia
|
|
|
3 |
C |
p.
|
article
|
Journal description