Publication

In silico feasibility of novel biodegradation pathways for 1,2,4-trichlorobenzene

Related publications (32)

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

In silico feasibility of novel biodegradation pathways for 1,2,4-trichlorobenzene

Graph Chatbot

Chat with Graph Search

Predicting protein interactions using geometric deep learning on protein surfaces

Prolamins' 3D structure: A new insight into protein modeling using the language of numbers and shapes

Combining phylogeny and coevolution improves the inference of interaction partners among paralogous proteins

Reviewing Challenges of Predicting Protein Melting Temperature Change Upon Mutation Through the Full Analysis of a Highly Detailed Dataset with High-Resolution Structures

Fast end-to-end learning on protein surfaces

Fatigue life modeling and prediction methods for composite materials and structures—Past, present, and future prospects

Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning

Pressure drop prediction in annular two-phase flow in macroscale tubes and channels

Flow boiling and frictional pressure gradients in plate heat exchangers. Part 1: Review and experimental database

Flow boiling and frictional pressure gradients in plate heat exchangers. Part 2: Comparison of literature methods to database and new prediction methods