Zbynek Prokop

Molecular Biology · 2003–2023

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 33 citations into it
• Computational Biology & Bioinformatics — 9 citations into it
• Artificial Intelligence — 8 citations into it

Whom Zbynek Prokop trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Robi Polikar
2. David Hilton Wolpert
3. Douglas M. Fowler
4. Kevin Kaichuang Yang

Who trusts Zbynek Prokop overall

1. Zachary Wu

Papers from Zbynek Prokop's perspective

Ordered by how strongly the researchers Zbynek Prokop trusts endorse each paper. Same corpus, a different order for every researcher.

1. Machine-learning-guided directed evolution for protein engineering
2. Ensemble based systems in decision making
3. No free lunch theorems for optimization
4. Deep mutational scanning: a new style of protein science
5. Machine learning in genetics and genomics (Nature reviews genetics)
6. Variation Interpretation Predictors: Principles, Types, Performance, and Choice
7. Deep learning for regulatory genomics
8. Determining protein structures using deep mutagenesis
9. Coming of age: ten years of next-generation sequencing technologies (Nature reviews genetics)
10. The Crucial Role of Methodology Development in Directed Evolution of Selective Enzymes. (Angewandte Chemie)

Their papers

• Machine Learning in Enzyme Engineering (2019) — 359 citations
• Catalytic mechanism for Renilla-type luciferases (2023)
• Catalytic Mechanism of the Haloalkane Dehalogenase LinB from Sphingomonas paucimobilis UT26* (2003) — 83 citations