Enzymes can be engineered at the level of their amino acid sequences to optimize key
properties such as expression, stability, substrate range, and catalytic efficiency─ or even to …

Abstract Information in proteins flows from sequence to structure to function, with each step
causally driven by the preceding one. Protein design is founded on inverting this process …

Protein denoising diffusion probabilistic models are used for the de novo generation of
protein backbones but are limited in their ability to guide generation of proteins with …

Transformer‐based foundation models such as ChatGPTs have revolutionized our daily life
and affected many fields including bioinformatics. In this perspective, we first discuss about …

This tutorial provides an in-depth guide on inference-time guidance and alignment methods
for optimizing downstream reward functions in diffusion models. While diffusion models are …

Recently, a number of message passing neural network (MPNN)‐based methods have been
introduced that, based on backbone atom coordinates, efficiently recover native amino acid …

Messenger RNA (mRNA) vaccines have emerged as a powerful tool against communicable
diseases and cancers, as demonstrated by their huge success during the coronavirus …

The utilization of renewable, non–edible biomass for synthesis of valuable bio–products
including bio–fuels, bio-chemicals and bio–polymeric materials, in an environmentally …

Designing particles that are able to form icosahedral quasicrystals (IQCs) and that are as
simple as possible is not only of fundamental interest but is also important to the potential …

This tutorial provides an in-depth guide on inference-time guidance and alignment methods
for optimizing downstream reward functions in diffusion models. While diffusion models are …