缩写 | 中文译名 | 支链 | 分子量 | 等电点 | 羧基解离常数 | 氨基解离常数 | Pkr(R) | R基 | |
---|---|---|---|---|---|---|---|---|---|
G | 甘氨酸 | 亲水性 | 75.07 | 6.06 | 2.35 | 9.78 | -H | ||
A | 丙氨酸 | 疏水性 | 89.09 | 6.11 | 2.35 | 9.87 | -CH₃ | ||
V | 缬氨酸 | 疏水性 | 117.15 | 6.00 | 2.39 | 9.74 | -CH-(CH₃)₂ | ||
L | 亮氨酸 | 疏水性 | 131.17 | 6.01 | 2.33 | 9.74 | -CH₂-CH(CH₃)₂ | ||
I | 异亮氨酸 | 疏水性 | 131.17 | 6.05 | 2.32 | 9.76 | -CH(CH₃)-CH₂-CH₃ | ||
F | 苯丙氨酸 | 疏水性 | 165.19 | 5.49 | 2.20 | 9.31 | -CH₂-C₆H₅ | ||
W | 色氨酸 | 疏水性 | 204.23 | 5.89 | 2.46 | 9.41 | -C₈NH₆ | ||
Y | 酪氨酸 | 疏水性 | 181.19 | 5.64 | 2.20 | 9.21 | 10.46 | -CH₂-C₆H₄-OH | |
D | 天冬氨酸 | 酸性 | 133.10 | 2.85 | 1.99 | 9.90 | 3.90 | -CH₂-COOH | |
N | 天冬酰胺 | 亲水性 | 132.12 | 5.41 | 2.14 | 8.72 | -CH₂-CONH₂ | ||
E | 谷氨酸 | 酸性 | 147.13 | 3.15 | 2.10 | 9.47 | 4.07 | -(CH₂)₂-COOH | |
K | 赖氨酸 | 碱性 | 146.19 | 9.60 | 2.16 | 9.06 | 10.54 | -(CH₂)₄-NH₂ | |
Q | 谷氨酰胺 | 亲水性 | 146.15 | 5.65 | 2.17 | 9.13 | -(CH₂)₂-CONH₂ | ||
M | 甲硫氨酸 | 疏水性 | 149.21 | 5.74 | 2.13 | 9.28 | -(CH₂)-S-CH₃ | ||
S | 丝氨酸 | 亲水性 | 105.09 | 5.68 | 2.19 | 9.21 | -CH₂-OH | ||
T | 苏氨酸 | 亲水性 | 119.12 | 5.60 | 2.09 | 9.10 | -CH(CH₃)-OH | ||
C | 半胱氨酸 | 亲水性 | 121.16 | 5.05 | 1.92 | 10.70 | 8.37 | -CH₂-SH | |
P | 脯氨酸 | 疏水性 | 115.13 | 6.30 | 1.95 | 10.64 | -C₃H₆ | ||
H | 组氨酸 | 碱性 | 155.16 | 7.60 | 1.80 | 9.33 | 6.04 | ||
R | 精氨酸 | 碱性 | 174.20 | 10.76 | 1.82 | 8.99 | 12.48 |
实验环境
mac 10.14 64-bit
python=3.7.2
Keras=2.2.4
Keras-Applications=1.0.7
Keras-Preprocessing=1.0.9
graphviz=0.10.1
numpy=1.16.2
pandas=0.24.1
pydot=1.4.1
pydot-ng=2.0.0
scikit-learn=0.20.3
scipy=1.2.1
PyYAML=5.1
six=1.12.0
tensorboard=1.13.1
tensorflow=1.13.1
tensorflow-estimator=1.13.0
1 Dense 神经网络 https://blog.csdn.net/malele4th/article/details/79429028
2 optimizer 优化器 https://blog.csdn.net/weixin_41417982/article/details/81561210
3 Binarycrossentropy损失函数 https://blog.csdn.net/legalhighhigh/article/details/81409551
4 Dropout随机失活 https://blog.csdn.net/program_developer/article/details/80737724
![](https://cdn.nlark.com/yuque/__latex/4b57f23e1eaf54ee74ffcb3c8bef80c5.svg#card=math&code=X%7Bnorm%7D%3D%20%5Cfrac%7B2%2A%28X-X%7Bmin%7D%29%7D%7BX%7Bmax%7D-X_%7Bmin%7D%7D-1&height=45&width=215)
a22=w1-22x1+w2-22x2+…+w43-22+b1-22
(m∈{‘A’, ‘L’, ‘R’, ‘K’, ‘N’, ‘M’, ‘D’, ‘F’, ‘C’, ‘P’, ‘Q’, ‘S’, ‘E’, ‘T’, ‘G’, ‘W’, ‘H’, ‘Y’, ‘I’, ‘V’, ‘O’})
![](https://cdn.nlark.com/yuque/__latex/e1ca51906f7d491cfe91e2a7073a0020.svg#card=math&code=%28V_1%2CV_2%2CV_3%2CV_4%2CV_5%2CV_6%2CV_7%5Cbigr%29&height=24&width=184)