A3D311 Enoyl-[acyl-carrier-protein] reductase [NADH] MolNFT, Molecular NFT on GenesisL1

Enoyl-[acyl-carrier-protein] reductase [NADH]

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeib3h3xbclridkvbqw2onukrm2jv5qzrntjxmelp7qlnvd6nk5xswq/metadata.json

IPFS of structure file:

bafybeigxp75yh3tse6zvyeujauw2m54yhu665lvszbievenv45skslcgoy/AF-A3D311-F1-model_v2.pdb

First NFT owner address (eip-55):

0xFfa14EF9812cbceCFF953A0e1f923941F78cc638

First NFT owner address (bech32):

genesis1l7s5a7vp9j7welu48g8ply3eg8mce33cpxjfa5

Current NFT ID #125040 owner (web3):

0xcC44Ddcb73f28D709287baD62Db1215431715d2C

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
125040
Accession (UniProt):
A3D311
Name::
Enoyl-[acyl-carrier-protein] reductase [NADH]
Experimental Method:
Predicted structure
Sequence source:
Shewanella baltica (strain OS155 / ATCC BAA-1091)

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 A3D311 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A3D311|FABV_SHEB5 Enoyl-[acyl-carrier-protein] reductase [NADH] OS=Shewanella baltica (strain OS155 / ATCC BAA-1091) OX=325240 GN=fabV PE=3 SV=1 MIIKPKIRGFICTTTHPVGCEANVQEQITLTKAKGKIANGPKKVLVVGSSSGYGLSSRIAAAFGSDAATIGVFFEKPGTETKPGTAGWYNSAAFDKFAKAEGLYSKSINCDAFSHEAKQKVIELIKQDLGEIDMVVYSLASPVRKLPDSGELIRSALKPIGETYTATAVDTNKDCIIEATVEPATEQEIADTVTVMGGEDWELWIKALSEAGVLADNCKTVAYSYIGTELTWPIYWHGALGKAKMDLDRAAKALNEQLSATGGSANVAVLKSVVTQASSAIPVMPLYIAMVFKKMRQEGLHEGCMEQIYRMFSERLFRADGAKPETDSDNRIRLDDWELREDIQQHCRNLWPQVTTENLSELTDYREYKAEFIKLFGFGIEGIDYDADVNPYVEFDVIEL

A3D311 AF NFT

MOLNFT AF v1

NFT data

MOLNFT A3D311 research and analysis (ICN3D with VR)

FASTA sequences

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