Protein Engineering

Single-mutation scan

Every possible single mutation scored by the model: one column per residue, one row per amino acid. Blue means the model predicts a better score than the wild type, red a worse one.

avgfp · Sequence CNN

worse than WT
better than WT

Hover a cell for its value. Diagonal hatching marks the wild-type amino acid at that position, which is not a mutation. Raw values (JSON)

Highest-scoring mutations

#MutationPredicted score vs wild type
1 Y37R 4.168 +0.449
2 N103W 4.064 +0.345
3 S203T 4.038 +0.319
4 N103F 4.020 +0.300
5 N103Y 4.018 +0.299
6 N103Q 4.013 +0.294
7 A152P 4.004 +0.284
8 E15R 4.000 +0.280
9 H229P 3.998 +0.279
10 V161P 3.996 +0.277
11 G189N 3.994 +0.275
12 L13R 3.987 +0.267
13 N103L 3.986 +0.266
14 M231E 3.985 +0.266
15 V161A 3.972 +0.253
16 N103M 3.970 +0.250
17 N103K 3.965 +0.245
18 G230P 3.963 +0.244
19 Q202Y 3.958 +0.239
20 V161G 3.958 +0.238
21 Y37N 3.953 +0.234
22 H229N 3.952 +0.233
23 A108S 3.952 +0.233
24 G8S 3.951 +0.232
25 G189R 3.944 +0.225
26 Q155P 3.943 +0.224
27 E170L 3.940 +0.221
28 T36H 3.939 +0.220
29 N103H 3.939 +0.220
30 T201I 3.938 +0.219

These are predictions, not measurements. Single mutants are a small part of the training data for most of these datasets, so treat the list as candidates to test.