METL models
NIH| Data-driven analysis of protein structure, function, and regulation ,
NSF| Partnership to Advance Throughput Computing (PATh) ,
NSF| Collaborative Research: MFB: Integrating Deep Learning and High-throughput Experimentation to Rapidly Navigate Protein Fitness Landscapes for Non-native Enzyme Catalysis ,
NSF| Collaborative Research: MFB: Integrating Deep Learning and High-throughput Experimentation to Rapidly Navigate Protein Fitness Landscapes for Non-native Enzyme Catalysis ,
NIH| A Machine Learning Platform for Adaptive Chemical Screening ,
NSF| S2I2: Institute for Research and Innovation in Software for High Energy Physics (IRIS-HEP)
Gelman, Sam; Romero, Philip; Gitter, Anthony;
METL models
This repository contains pretrained source and target METL models. The metl-pretrained GitHub repository is used to load and run these models, and its readme describes each of the model files. Version 2.0 added 36 finetuned METL-Local and METL-Global target models. Version 3.0 added PTEN source and target models.
- Morgridge Institute for Research United States
- University of Wisconsin–Oshkosh United States
- UNIVERSITY OF WISCONSIN-MADISON United States
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).1 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 1
Average
Average
Average
Funded byView all
NIH| Data-driven analysis of protein structure, function, and regulation, NSF| Partnership to Advance Throughput Computing (PATh), NSF| Collaborative Research: MFB: Integrating Deep Learning and High-throughput Experimentation to Rapidly Navigate Protein Fitness Landscapes for Non-native Enzyme Catalysis, NSF| Collaborative Research: MFB: Integrating Deep Learning and High-throughput Experimentation to Rapidly Navigate Protein Fitness Landscapes for Non-native Enzyme Catalysis