Q96N22 AF NFT

Zinc finger protein 681

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeifkaicxxv2fcel4eedia2ct4lvbbkbr4q5ljedh63c4ezrrktcedq/metadata.json

IPFS of structure file:

bafybeibitvj6e5mbn2gjkpx4w7rpfbbneyfnrrf7pkjafrx4qxrglfptoa/AF-Q96N22-F1-model_v2.pdb

First NFT owner address (eip-55):

0xb8D26B2A804f01ae9F25bc6F07fB7e42852BC131

First NFT owner address (bech32):

genesis1hrfxk25qfuq6a8e9h3hs07m7g2zjhsf36mkh4e

Current NFT ID #541424 owner (web3):

0xb8D26B2A804f01ae9F25bc6F07fB7e42852BC131

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
541424
Accession (UniProt):
Q96N22
Name::
Zinc finger protein 681
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 Q96N22 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q96N22|ZN681_HUMAN Zinc finger protein 681 OS=Homo sapiens OX=9606 GN=ZNF681 PE=2 SV=2 MEPLKFRDVAIEFSLEEWQCLDTIQQNLYRNVMLENYRNLVFLGIVVSKPDLITCLEQEKEPWTRKRHRMVAEPPVICSHFAQDFSPEQNIKDSFQKVTPRRYGKCEHENLQLSKSVDECKVQKGGYNGLNQCLPTTQSKIFQCDKYMKIFHKFSNLNGHKVRHTRKKPFKYKEFGKSFCIFSNLTQHKIICTRVNFYKCEDCGKAFNGSSIFTKHKRIHIGEKSYICEECGKACNQFTNLTTHKIIYTRDKLYKREECSKAFNLSSHITTHTIIHTGENPYKREECDKAFNQSLTLTTHKIIHTREKLNEYKECGKAFNQSSHLTRHKIIHTGEKPYKCEECGKAFNQSSHLTRHKIIHTGEKPYRCEECGKAFRQSSHLTTHKIIHTGEKPYKCEECGKAFNKSSHLTRHKSIHTGEKPYQCEKCGKASNQSSNLTEHKNIHTEEKPYKCEECGKAFNQFSNLTTHKRIHTGEKPYKCEECGKAFNQSSILTTHKRIHTGEKSYKCEECGKAFYRSSKLTEHKKIHTGEKPYTCEECGKAFNHSSHLATHKVIHTGEKPYQCEECGKAFNQSSHLTRHKRIHTGEKPYQCEKCGKAFNQSSNLTGHKKIHTGEKLYKPKRCNSDFENTSKFSKHKRNYAGEKS

MOLNFT AF v1_w

NFT data

MOLNFT Q96N22 research and analysis (ICN3D with VR)

FASTA sequences

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