A6H742 Plastin-1 MolNFT, Molecular NFT on GenesisL1

Plastin-1

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeib4ii4rxzshla4nj4le6j7fiwi2ykc462jt2wt7oyqe7hdubpchda/metadata.json

IPFS of structure file:

bafybeierbizdxzhsamnuwreszcelejkxrip5av2nxq2km3yvuuugsurb2u/AF-A6H742-F1-model_v2.pdb

First NFT owner address (eip-55):

0x6DAA77C4263E74E745cA9c4D8E291e57e8991Cf5

First NFT owner address (bech32):

genesis1dk4803px8e6ww3w2n3xcu2g72l5fj884walv9j

Current NFT ID #301877 owner (web3):

0x43c3Fe0a204231f7E4956aa82BbafBdc59917943

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
301877
Accession (UniProt):
A6H742
Name::
Plastin-1
Experimental Method:
Predicted structure
Sequence source:
BOS TAURUS

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 A6H742 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A6H742|PLSI_BOVIN Plastin-1 OS=Bos taurus OX=9913 GN=PLS1 PE=2 SV=1 MENSTTTISREELEELQEAFNKIDIDNSGYVSDYELQDLFKEASLPLPGYKVREIVEKILAVADNNKDSRISFEEFVSLMQELKSKDISKTFRKIINKREGITAIGGTSSISSEGTQHSYSEEEKVAFVNWINKALENDPDCKHLIPMNPNDDSLFKSLADGILLCKMINLSEPDTIDERAINKKKLTPFTISENLNLALNSASAIGCTVVNIGAQDLTEGKPHLVLGLLWQIIKVGLFADIEISRNEALIALLKEGEDLEELMRLSPEELLLQWVNYHLTNAGWPTISNFSHDIKDSRAYFHLLNQIAPKGDRDDGPAIAIDLTGFSEKNDLKRAEFMLQEADKLGCRQFVTPADVVSGNPKLNLAFVANLFNTYPGLHKPDNNDIDVNLLEGESKEERTFRNWMNSLGVNPYINHLYSDLADALVIFQLYEMIRVPVDWSHVNKPPYPALGGNMKKIENCNYAVELGKNKAKFSLVGIAGQDLNEGNSTLTLALVWQLMRRYTLNVLSDLGEGEKVNDAIIIEWVNQTLKSANKNTFISSFKDKSISTSLPVLDLIDAIAPNAVRQEMIKREDLSDEDKLNNAKYAISVARKIGARIYALPDDLVEVKPKMVMTVFACLMGKGLNKIK

A6H742 AF NFT

MOLNFT AF v1

NFT data

MOLNFT A6H742 research and analysis (ICN3D with VR)

FASTA sequences

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