Q9UL59 AF NFT

Zinc finger protein 214

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeihft3yizyrvrghrxdb3wl6ank4ivuzznb7qdfwsnavjfcidv2wfrq/metadata.json

IPFS of structure file:

bafybeih4kacmrwrzlpfcfhteajyty25mn2btupcpo7fmveeiauvkkftfmq/AF-Q9UL59-F1-model_v2.pdb

First NFT owner address (eip-55):

0x4d10233e8d7916EAcA13bcc0a521cCa504C4dDE7

First NFT owner address (bech32):

genesis1f5gzx05d0ytw4jsnhnq22gwv55zvfh080qe2sf

Current NFT ID #540957 owner (web3):

0x4d10233e8d7916EAcA13bcc0a521cCa504C4dDE7

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
540957
Accession (UniProt):
Q9UL59
Name::
Zinc finger protein 214
Experimental Method:
Predicted structure
Sequence source:
HOMO SAPIENS

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 Q9UL59 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9UL59|ZN214_HUMAN Zinc finger protein 214 OS=Homo sapiens OX=9606 GN=ZNF214 PE=2 SV=2 MAVTFEDVTIIFTWEEWKFLDSSQKRLYREVMWENYTNVMSVENWNESYKSQEEKFRYLEYENFSYWQGWWNAGAQMYENQNYGETVQGTDSKDLTQQDRSQCQEWLILSTQVPGYGNYELTFESKSLRNLKYKNFMPWQSLETKTTQDYGREIYMSGSHGFQGGRYRLGISRKNLSMEKEQKLIVQHSYIPVEEALPQYVGVICQEDLLRDSMEEKYCGCNKCKGIYYWNSRCVFHKRNQPGENLCQCSICKACFSQRSDLYRHPRNHIGKKLYGCDEVDGNFHQSSGVHFHQRVHIGEVPYSCNACGKSFSQISSLHNHQRVHTEEKFYKIECDKDLSRNSLLHIHQRLHIGEKPFKCNQCGKSFNRSSVLHVHQRVHTGEKPYKCDECGKGFSQSSNLRIHQLVHTGEKSYKCEDCGKGFTQRSNLQIHQRVHTGEKPYKCDDCGKDFSHSSDLRIHQRVHTGEKPYTCPECGKGFSKSSKLHTHQRVHTGEKPYKCEECGKGFSQRSHLLIHQRVHTGEKPYKCHDCGKGFSHSSNLHIHQRVHTGEKPYQCAKCGKGFSHSSALRIHQRVHAGEKPYKCREYYKGFDHNSHLHNNHRRGNL

MOLNFT AF v1_w

NFT data

MOLNFT Q9UL59 research and analysis (ICN3D with VR)

FASTA sequences

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