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Luftpost Amerika Mandschurei protein sequence space ausdrücken Flipper Komplexität
Global mapping of the protein structure space and application in structure-based inference of protein function | PNAS
Navigating the amino acid sequence space between functional proteins using a deep learning framework [PeerJ]
Co‐Evolutionary Fitness Landscapes for Sequence Design - Tian - 2018 - Angewandte Chemie International Edition - Wiley Online Library
Alternative evolutionary histories in the sequence space of an ancient protein | Nature
MIT CSAIL Research Abstracts
How much of protein sequence space has been explored by life on Earth? | Journal of The Royal Society Interface
Expanding functional protein sequence space using generative adversarial networks | bioRxiv
A deep unsupervised language model for protein design | bioRxiv
Photo-responsive protein hydrogels as agent for controlled stem cell/protein release
Maps of protein structure space reveal a fundamental relationship between protein structure and function | PNAS
Navigating the amino acid sequence space between functional proteins using a deep learning framework [PeerJ]
Sequence-structure-function relationships in the microbial protein universe | Nature Communications
Sequence space (evolution) - Wikipedia
Simulating protein evolution in sequence and structure space - ScienceDirect
Sequence space (evolution) - Wikipedia
An overview of the protein space and examples of proteins generated by... | Download Scientific Diagram
Benchmarking Inverse Statistical Approaches for Protein Structure and Design with Exactly Solvable Models | PLOS Computational Biology
PDF] On the universe of protein folds. | Semantic Scholar
Deep embeddings to comprehend and visualize microbiome protein space | bioRxiv
Overview. (A) Illustration of protein sequence space. Natural sequences... | Download Scientific Diagram
Efficient Exploration of Sequence Space by Sequence-Guided Protein Engineering and Design | Biochemistry
Efficient Exploration of Sequence Space by Sequence-Guided Protein Engineering and Design | Biochemistry
Neural networks to learn protein sequence–function relationships from deep mutational scanning data | PNAS
Science@Berkeley Lab: A New Guide to Exploring the Protein Universe
Expanding functional protein sequence spaces using generative adversarial networks | Nature Machine Intelligence
Experimental Rugged Fitness Landscape in Protein Sequence Space | PLOS ONE
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