Q21FY5 AF NFT

Biotin biosynthesis bifunctional protein BioHC

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieysstgbszmoy3vrtvlxwxti6oc5btnmqr3zkwv53o45tz37tmyme/metadata.json
IPFS of structure file: 
bafybeiejc76gxrhqntb7yh2f4lxtsj37jzzjxmovuli523m7rrxcbazcmy/AF-Q21FY5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x155b8f623dc221FbDC853e78Bf3D4a5c5e354ea3
First NFT owner address (bech32): 
genesis1z4dc7c3acgslhhy98eut7022t30r2n4rgqdyfz
Current NFT ID #44440 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
44440
Accession (UniProt):
Q21FY5
Name::
Biotin biosynthesis bifunctional protein BioHC
Experimental Method:
Predicted structure
Sequence source:
Saccharophagus degradans (strain 2-40 / ATCC 43961 / DSM 17024)

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q21FY5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q21FY5|BIOHC_SACD2 Biotin biosynthesis bifunctional protein BioHC OS=Saccharophagus degradans (strain 2-40 / ATCC 43961 / DSM 17024) OX=203122 GN=bioC PE=3 SV=1 MSNIEPSNVKPSNIELGTIPLAEAPATKLEAAYIAKKIAPNNSNPNAPVWVFVHGWGASANTWAPLVDELKSQCEIWLLDLPSFGGNTQAVNSPSAVAADIAKILPANTVLVGWSLGGMLLPLIAQQIEQHWPTKTISHCIGLAANAKFAQGDNYTAAMPAETFQTFCANFNVDPTTTWSRFGLLQAQGDSNRKLVSRQIKALHNAPMPEQFTAWQQALTWLGAIDNRVLLCEITTPFLHLFGEGDALVPADAAVAMAGINPLHQTLVVASAGHVLHFSQPAKIAQIMLARVHAKRNKARVAKSFSNAATEYDSVAYLQQKLANTLCEWVPEQAEKIADLGCGTGYCGLQLQRPERDIYSLDLAQGMLHTARSKALAKQQLFSGVCADIECLPFISNGFDALVSGMSMQWCEDLPAVFSEAHRVLKPNGEMIFSTLGPQTLFELREAWAEADIKLGRQGCVHVNTFIELDRVEIAAKQAGFVIEQTSREIHVLTYDSVMPLMRELKTIGAHNVNPGQEQGLTGKARLKAMAQAYEQFRTAQGVLPLTYEVGFYQLLKV