A0KV43 Glycosyl hydrolase family 109 protein 1 MolNFT, Molecular NFT on GenesisL1

Glycosyl hydrolase family 109 protein 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeie6mcvsarp3eqo7i4d5o56yjamghbpipqafp4dxfmp2thlwbdrc3q/metadata.json

IPFS of structure file:

bafybeihy4awkltr2r7fp6gybde35brcezit5us7cjogtvzxpqkmwdzqs5i/AF-A0KV43-F1-model_v2.pdb

First NFT owner address (eip-55):

0xCbAB44eAF7010f6D58F509F23fD04415aAbC4Fba

First NFT owner address (bech32):

genesis1ew45f6hhqy8k6k84p8erl5zyzk4tcna6tm8de9

Current NFT ID #138815 owner (web3):

0xCbAB44eAF7010f6D58F509F23fD04415aAbC4Fba

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
138815
Accession (UniProt):
A0KV43
Name::
Glycosyl hydrolase family 109 protein 1
Experimental Method:
Predicted structure
Sequence source:
SHEWANELLA SP. (STRAIN ANA-3)

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 A0KV43 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0KV43|G1091_SHESA Glycosyl hydrolase family 109 protein 1 OS=Shewanella sp. (strain ANA-3) OX=94122 GN=Shewana3_1428 PE=3 SV=1 MHNIHRRHFLKAAGAVTAGLVTANIALNANASSVAPKPRVGKSVIGLIAPKMELVRVGFIGVGERGFSHVEQFCHLEGVELKAICDTHQAVIDRAVEHIVKQNRPKPAVYTGNDLSYRELLNRDDIDIVIISTPWEWHAPMAIDTMESGKHAFVEVPLALTVEECWQLVDTAERTQKNCMMMENVNYGREELMVLNMVRQGVFGELLHGEAAYIHELRWQMKEIDHKTGSWRTYWHTKRNGNLYPTHGLGPISQYMNINRGDRFDYLTSMSSPALGRALYAKREFPADHERNQLKYINGDMSTSLIKTVKGRTIMVQHDTTTPRPYSRHNLIQGTNGVFAGFPNRIAVEHGGFGKSYHEWDMDMQKWYDKYDHPLWQRIGKEAEINGGHGGMDFVMLWRMVYCLRNGEALDQDVYDGAAWSVVNILSEQSLNNRSNSVNFPDFTRGAWEHATPLGIVGA

A0KV43 AF NFT

MOLNFT AF v1

NFT data

MOLNFT A0KV43 research and analysis (ICN3D with VR)

FASTA sequences

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