Q2UVH8 AF NFT

Acrosin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiddpxlcugwgp4ocpeuovk4pffm2phqkef3wjyn2qkfz234lptv7ue/metadata.json
IPFS of structure file: 
bafybeiaiqocpl2baykrteqk7olgzcuvb56gf3uh55myosk6xbfofpjnpum/AF-Q2UVH8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x520ebf7B7e0BDeeC93A70c71B12D9C1a5741D264
First NFT owner address (bech32): 
genesis12g8t77m7p00weya8p3cmztvurft5r5nymux5g5
Current NFT ID #7861 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
7861
Accession (UniProt):
Q2UVH8
Name::
Acrosin
Experimental Method:
Predicted structure
Sequence source:
MELEAGRIS GALLOPAVO

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 Q2UVH8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2UVH8|ACRO_MELGA Acrosin OS=Meleagris gallopavo OX=9103 GN=ACR PE=1 SV=1 MALLLPLAVLLAACRPGHGFSGGCDTCGLRPVAYHYGGMRVVGGTEALHGSWPWIVSIQNPRFAGTGHMCGGSLITPQWVLSAAHCFGRPNYILQSRVVIGANDLTQLGQEVEVRSIRRAILHEYFNNKTMINDIALLELDRPVHCSYYIQLACVPDPSLRVSELTDCYVSGWGHMGMRSAAPTQTAEVLQEAKVHLLDLNLCNSSHWYDGVLHSHNLCAGYPQGGIDTCQGDSGGPLMCRDSSADYFWLVGVTSWGRGCGRAFRPGIYTSTQHFYNWILLQVRAAAHPTSRTWSHYMSTSSYHHGPNAVPTQPSVSDSCPFPAQKLREFFTGVQNLLQSLWGSKA