nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
Amino acid sensing and lysosomal signaling complexes
|
Cui, Zhicheng |
|
|
79 |
C |
p. |
artikel |
2 |
Artificial intelligence for compound pharmacokinetics prediction
|
Obrezanova, Olga |
|
|
79 |
C |
p. |
artikel |
3 |
Artificial intelligence in multi-objective drug design
|
Luukkonen, Sohvi |
|
|
79 |
C |
p. |
artikel |
4 |
A structural perspective on the evolution of viral/cellular macromolecular complexes within the arenaviridae family of viruses
|
Diskin, Ron |
|
|
79 |
C |
p. |
artikel |
5 |
Breaking free from the crystal lattice: Structural biology in solution to study protein degraders
|
Haubrich, Kevin |
|
|
79 |
C |
p. |
artikel |
6 |
Chemical language models for de novo drug design: Challenges and opportunities
|
Grisoni, Francesca |
|
|
79 |
C |
p. |
artikel |
7 |
Deep learning for protein complex structure prediction
|
Bryant, Patrick |
|
|
79 |
C |
p. |
artikel |
8 |
Deep learning for reconstructing protein structures from cryo-EM density maps: Recent advances and future directions
|
Giri, Nabin |
|
|
79 |
C |
p. |
artikel |
9 |
Developments in describing equilibrium phase transitions of multivalent associative macromolecules
|
Zeng, Xiangze |
|
|
79 |
C |
p. |
artikel |
10 |
Diverse mechanisms of polysaccharide biosynthesis, assembly and secretion across kingdoms
|
Stephens, Zachery |
|
|
79 |
C |
p. |
artikel |
11 |
Editorial Board
|
|
|
|
79 |
C |
p. |
artikel |
12 |
Emerging structural insights into C-type glycosyltransferases
|
Alexander, J. Andrew N. |
|
|
79 |
C |
p. |
artikel |
13 |
Everything is connected: Graph neural networks
|
Veličković, Petar |
|
|
79 |
C |
p. |
artikel |
14 |
Federated learning for molecular discovery
|
Hanser, Thierry |
|
|
79 |
C |
p. |
artikel |
15 |
Greater than the sum of parts: Mechanisms of metabolic regulation by enzyme filaments
|
Hvorecny, Kelli L. |
|
|
79 |
C |
p. |
artikel |
16 |
Industrializing AI/ML during the end-to-end drug discovery process
|
Yoo, Jiho |
|
|
79 |
C |
p. |
artikel |
17 |
Innovations in targeting RNA by fragment-based ligand discovery
|
Koehn, Jordan T. |
|
|
79 |
C |
p. |
artikel |
18 |
Integrating structure-based approaches in generative molecular design
|
Thomas, Morgan |
|
|
79 |
C |
p. |
artikel |
19 |
KATP channels in focus: Progress toward a structural understanding of ligand regulation
|
Martin, Gregory M. |
|
|
79 |
C |
p. |
artikel |
20 |
Machine learned coarse-grained protein force-fields: Are we there yet?
|
Durumeric, Aleksander E.P. |
|
|
79 |
C |
p. |
artikel |
21 |
May the proton motive force be with you: A plant transporter review
|
Andersen, Camilla Gottlieb |
|
|
79 |
C |
p. |
artikel |
22 |
MicroED in drug discovery
|
Danelius, Emma |
|
|
79 |
C |
p. |
artikel |
23 |
Mucin networks: Dynamic structural assemblies controlling mucus function
|
Fass, Deborah |
|
|
79 |
C |
p. |
artikel |
24 |
NMR of RNA - Structure and interactions
|
Marušič, Maja |
|
|
79 |
C |
p. |
artikel |
25 |
Open data and algorithms for open science in AI-driven molecular informatics
|
Brinkhaus, Henning Otto |
|
|
79 |
C |
p. |
artikel |
26 |
P5-ATPases: Structure, substrate specificities, and transport mechanisms
|
Sim, Sue Im |
|
|
79 |
C |
p. |
artikel |
27 |
Pump-like channelrhodopsins: Not just bridging the gap between ion pumps and ion channels
|
Kishi, Koichiro E. |
|
|
79 |
C |
p. |
artikel |
28 |
Recent structural advances in bacterial chemotaxis signalling
|
Riechmann, Carlos |
|
|
79 |
C |
p. |
artikel |
29 |
Sequence and structure alignments in post-AlphaFold era
|
Rajapaksa, Sandun |
|
|
79 |
C |
p. |
artikel |
30 |
Structural insights into the membrane chaperones for multi-pass membrane protein biogenesis
|
Bai, Lin |
|
|
79 |
C |
p. |
artikel |
31 |
Structure-based drug design with geometric deep learning
|
Isert, Clemens |
|
|
79 |
C |
p. |
artikel |
32 |
Table of contents
|
|
|
|
79 |
C |
p. |
artikel |
33 |
The impact of cryo-EM on determining allosteric modulator-bound structures of G protein-coupled receptors
|
Zhang, Liudi |
|
|
79 |
C |
p. |
artikel |
34 |
The opportunities and challenges posed by the new generation of deep learning-based protein structure predictors
|
Varadi, Mihaly |
|
|
79 |
C |
p. |
artikel |