NGBS2022

NGBS2022 Talk 10: RNA modelling and design - Rhiju Das

NGBS2022 Talk 2: Focal molography analysis in complex samples - Andreas Frutiger

NGBS2022 Talk 1: The extent of RNA catalysis – are there any limits? - David Lilley

NGBS2022 Talk 3: Cryo-EM to Understand physiological processes in bacterial cells - Tanmay Bharat

NGBS2022 Talk 5: Dynamic motion during loading and activation of the yeast Replisome - Nynke Dekker

NGBS2022 Talk 4: Imaging cholesterol & its enriched domains - Jorge Bernadino de la Serna

NGBS2022 Talk 8: AlphaFold and its implications for understanding biology- John Jumper

NGBS2022 Talk 6: Atomic force microscopy uncovers invisible complexities of the genome - Alice Pyne

NGBS2022 Talk 9: Dynamics and mechanism of CRISPR-Cas9 using computational methods - Giulia Palermo

NGBS2022 Talk 7: Single cell electrical characterization in bacteria - Ashley Nord

NGBS2022 Talk 11: Protein design using deep learning – David Baker

Normal Modes-based new simulation techniques opens far-reaching possibilities in structural biology

What Is AlphaFold? | NEJM

Development of Nucleic Acid-Based Nanostructures for Applications at the Interface with Biology

Inverse Folding with ProteinMPNN on Neurosnap: Practical guide to protein inverse folding.

Focusing on De Novo Protein Design 💥 w/ David Baker - Prof @ UW | BIOS

Robust deep learning based protein sequence design using ProteinMPNN

Doing a PhD with John O'Neill

Fig. 2: Cryo-EM structure of the spliceosome B complex.

Doing a PhD with Mick Hastings

Johannes Hohlbein - Exploring life at the single-molecule level | Nano meets Quantum 2022

Prediction of 3D Structure of RNA using mFold and RNAComposer #bioinformatics #rna #3dvisualisation

Tailored de Novo Protein Design with Deep Neural Networks | Zander Harteveld

What is in a Computed Structure Model? Meet AlphaFold and RoseTTAFold