Nim Api Post Call Protein Structure Alphafold2 Predict Structure From Sequence Post

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Body Params
sequences
array of strings
required
length between 1 and 6

An input polypeptide (i.e., amino acid) sequence that must be composed of valid Amino Acid IUPAC symbols.

Input Polypeptide Sequence*
string
enum
Defaults to jackhmmer

The algorithm to use for MSA. AlphaFold2 was trained on JackHMMer; MMSeqs2 provides faster inference. (MMSeqs2 will be supported in a future version of AlphaFold2 NIM!)

Allowed:

Sequence Bit Score cutoff for filtering sequences used in seeding the Multiple Sequence Alignment. Bit score must be > 0 or NULL. Note: If this value is unset, e-value is ignored.

databases
array of strings
length between 1 and 3
Defaults to uniref90,mgnfiy,small_bfd

Databases used for Multiple Sequence Alignment. By default, uniref90, mgnify, and small_bfd are used. Choice of databases(s) can significantly impact downstream structure prediction, so we recommend modifying carefully.

MSA Databases
number
≤ 10
Defaults to 0.0001

The e-value used for filtering hits when building the Multiple Sequence Alignment. Takes values between 0 < x <= 10.

integer
≥ 1
Defaults to 1

The number of MSA iterations to perform.

boolean
Defaults to true

Run structural relaxation after prediction

string
enum
Defaults to all

Which structural prediction to relax with AMBER. Default: Relax 'all' models.

Allowed:
integer
1 to 8
Defaults to 1

Determines the number of times the trunk of the network is run with different random MSA cluster centers.

1 to 100000

The maximum sequences taken from the MSA for model prediction.

string
enum
Defaults to hhsearch

The template searcher to use for templating. hmmsearch should be used for multimer; most other queries should rely on hhsearch.

Allowed:
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