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Data · dataset · 2024

Data Archive for: "De novo design of self-assembling peptides with antimicrobial activity guided by deep-learning"

Listed in ScienceDB

Description

TransSAFP is a self-attention based neural network that predicts antimicrobial label of self-assembling functional peptides. This data repository contains the model source codes and the data accompanying this study. See also: github.com/LiuHuayang27/TransSAFP

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Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.1918612 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:earth-environmentalmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:engineeringmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:humanitiesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:life-sciencesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:social-sciencemapping · scidb cnconnector:scidb_cn@1.0.0
descriptionsource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/description
licensesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/rights
publication_datesource · scidb cnconnector:scidb_cn@1.0.0
titlesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/title