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DynamicMPNN — Vecura

DynamicMPNN

DynamicMPNN is a deep learning inverse folding model that generates protein sequences compatible with multiple conformational states.

Job Name

State 1 Structure*

Design Chain (State 1)*

Auto chain detection unavailable — type the chain id manually.

State 1 Alignment Range

Upload a structure and pick the chain to select positions visually, or type positions and ranges here (e.g. 1-52).

State 2 Structure*

Design Chain (State 2)*

Auto chain detection unavailable — type the chain id manually.

State 2 Alignment Range

Upload a structure and pick the chain to select positions visually, or type positions and ranges here (e.g. 1-52).

Number of Samples

sequences

Model Checkpoint

Reference Sequences

0 entries

Sampling Mode

Temperature

Refresh Interval

steps

Configure input settings on the left, then click "Run"

DynamicMPNN

DynamicMPNN is a deep learning inverse folding model that generates protein sequences compatible with multiple conformational states.

Job Name

State 1 Structure*

Design Chain (State 1)*

Auto chain detection unavailable — type the chain id manually.

State 1 Alignment Range

Upload a structure and pick the chain to select positions visually, or type positions and ranges here (e.g. 1-52).

State 2 Structure*

Design Chain (State 2)*

Auto chain detection unavailable — type the chain id manually.

State 2 Alignment Range

Upload a structure and pick the chain to select positions visually, or type positions and ranges here (e.g. 1-52).

Number of Samples

sequences

Model Checkpoint

Reference Sequences

0 entries

Sampling Mode

Temperature

Refresh Interval

steps

Configure input settings on the left, then click "Run"