S.ScerTFYeast transcription factor database Aaron Spivak
← All factors / TF RECORD

MBP1

YDL056W

View at SGD ↗

Transcription factor involved in regulation of cell cycle progression from G1 to S phase, forms a complex with Swi6p that binds to MluI cell cycle box regulatory element in promoters of DNA synthesis genes

01 / RECOMMENDED MATRIX

Best-performing DNA-binding model.

RecommendedSource: Aligned Matrix
Fisher’s P-value2.83e-61
Information content10.29
Max PWM score9.51
Recommended cutoff6.99
View and copy the recommended matrices ↘
Position frequency matrix (PFM)
A | 0.677 0.012 0.039 0.005 0.018 0.097 0.041 
C | 0.056 0.954 0.009 0.935 0.030 0.021 0.558 
G | 0.091 0.012 0.946 0.009 0.934 0.009 0.069 
T | 0.176 0.022 0.006 0.051 0.018 0.873 0.332
Position count matrix (PCM)
A |  67   1   3   0   1   9   4 
C |   5  95   0  93   3   2  55 
G |   9   1  94   0  93   0   6 
T |  17   2   0   5   1  87  33
Position weight matrix (PWM)
A |  0.75 -3.28 -2.10 -4.16 -2.88 -1.19 -2.05 
C | -1.17  1.67 -3.00  1.65 -1.79 -2.15  1.13 
G | -0.68 -2.71  1.66 -3.00  1.65 -3.00 -0.96 
T | -0.60 -2.68 -3.98 -1.84 -2.88  1.00  0.04
02 / COMPARATIVE BENCHMARKS

Alternative candidate matrices 8

Historical matrix candidates from the original ScerTF database. Expand a source to inspect its original logo, scores, and matrix values.

MBP1Badis et. al.P = 9.02e-48View matrix ↘
Sequence logo for MBP1
Fisher’s P-value9.02e-48
Information content7.814
Max PWM score6.98
Recommended cutoff6.98
Position frequency matrix (PFM)
A | 0.55 0.01 0.15 0.01 0.01 
C | 0.10 0.97 0.01 0.86 0.02 
G | 0.18 0.01 0.83 0.01 0.96 
T | 0.17 0.01 0.01 0.12 0.01
Position count matrix (PCM)
A |  55   1  15   1   1 
C |  10  97   1  86   2 
G |  18   1  83   1  96 
T |  17   1   1  12   1
Position weight matrix (PWM)
A |  0.54 -3.47 -0.76 -3.47 -3.47 
C | -0.59  1.68 -2.89  1.56 -2.20 
G |  0.00 -2.89  1.53 -2.89  1.67 
T | -0.63 -3.47 -3.47 -0.98 -3.47
Badis et. al.
MBP1_AFoat et. al.P = 1.11e-53View matrix ↘
Sequence logo for MBP1_A
Fisher’s P-value1.11e-53
Information content9.045
Max PWM score7.88
Recommended cutoff7.04
Position frequency matrix (PFM)
A | 0.60 0.01 0.06 0.01 0.01 0.21 
C | 0.02 0.97 0.01 0.95 0.01 0.14 
G | 0.11 0.01 0.93 0.01 0.97 0.08 
T | 0.27 0.01 0.01 0.03 0.01 0.58
Position count matrix (PCM)
A |  60   1   6   1   1  21 
C |   2  97   1  95   1  14 
G |  11   1  93   1  97   8 
T |  27   1   1   3   1  57
Position weight matrix (PWM)
A |  0.63 -3.47 -1.67 -3.47 -3.47 -0.42 
C | -2.20  1.68 -2.89  1.66 -2.89 -0.25 
G | -0.49 -2.89  1.64 -2.89  1.68 -0.81 
T | -0.17 -3.47 -3.47 -2.37 -3.47  0.59
Foat et. al.
MBP1_BFoat et. al.P = 5.12e-60View matrix ↘
Sequence logo for MBP1_B
Fisher’s P-value5.12e-60
Information content10.12
Max PWM score9.32
Recommended cutoff7.15
Position frequency matrix (PFM)
A | 0.74 0.01 0.04 0.01 0.01 0.14 0.03 
C | 0.01 0.97 0.01 0.93 0.06 0.04 0.47 
G | 0.06 0.01 0.93 0.01 0.92 0.01 0.13 
T | 0.19 0.01 0.01 0.05 0.01 0.81 0.37
Position count matrix (PCM)
A |  74   1   4   1   1  14   3 
C |   1  97   1  93   6   4  47 
G |   6   1  93   1  92   1  13 
T |  19   1   1   5   1  81  37
Position weight matrix (PWM)
A |  0.84 -3.47 -2.08 -3.47 -3.47 -0.83 -2.37 
C | -2.89  1.68 -2.89  1.64 -1.10 -1.50  0.96 
G | -1.10 -2.89  1.64 -2.89  1.63 -2.89 -0.33 
T | -0.52 -3.47 -3.47 -1.86 -3.47  0.93  0.15
Foat et. al.
MBP1_CFoat et. al.P = 3.67e-51View matrix ↘
Sequence logo for MBP1_C
Fisher’s P-value3.67e-51
Information content9.487
Max PWM score8.19
Recommended cutoff8.19
Position frequency matrix (PFM)
A | 0.61 0.01 0.04 0.01 0.01 0.16 
C | 0.11 0.97 0.01 0.97 0.01 0.05 
G | 0.13 0.01 0.94 0.01 0.97 0.05 
T | 0.15 0.01 0.01 0.02 0.01 0.75
Position count matrix (PCM)
A |  61   1   4   1   1  16 
C |  11  97   1  97   1   5 
G |  13   1  94   1  97   5 
T |  15   1   1   2   1  75
Position weight matrix (PWM)
A |  0.65 -3.47 -2.08 -3.47 -3.47 -0.69 
C | -0.49  1.68 -2.89  1.68 -2.89 -1.28 
G | -0.33 -2.89  1.65 -2.89  1.68 -1.28 
T | -0.76 -3.47 -3.47 -2.77 -3.47  0.85
Foat et. al.
MBP1Harbison et. al.P = 1.90e-59View matrix ↘
Sequence logo for MBP1
Fisher’s P-value1.90e-59
Information content10.52
Max PWM score9.41
Recommended cutoff7.37
Position frequency matrix (PFM)
A | 0.362 0.798 0.007 0.036 0.010 0.013 0.224 
C | 0.062 0.009 0.981 0.006 0.954 0.006 0.035 
G | 0.473 0.025 0.005 0.947 0.007 0.966 0.015 
T | 0.103 0.168 0.007 0.012 0.028 0.014 0.726
Position count matrix (PCM)
A |  36  79   0   3   1   1  22 
C |   6   0  98   0  95   0   3 
G |  47   2   0  94   0  96   1 
T |  10  16   0   1   2   1  72
Position weight matrix (PWM)
A |  0.12  0.91 -3.82 -2.18 -3.47 -3.20 -0.36 
C | -1.07 -3.00  1.70 -3.40  1.67 -3.40 -1.64 
G |  0.97 -1.97 -3.58  1.66 -3.25  1.68 -2.48 
T | -1.13 -0.64 -3.82 -3.28 -2.44 -3.13  0.82
Harbison et. al.
MBP1Macisaac et. alP = 9.79e-57View matrix ↘
Sequence logo for MBP1
Fisher’s P-value9.79e-57
Information content10.81
Max PWM score9.64
Recommended cutoff7.23
Position frequency matrix (PFM)
A | 0.616 0.014 0.038 0.001 0.027 0.054 0.051 
C | 0.101 0.939 0.007 0.940 0.001 0.001 0.648 
G | 0.121 0.014 0.954 0.008 0.945 0.007 0.007 
T | 0.162 0.033 0.001 0.051 0.027 0.938 0.294
Position count matrix (PCM)
A |  61   1   3   0   2   5   5 
C |  10  93   0  94   0   0  64 
G |  12   1  95   0  94   0   0 
T |  16   3   0   5   2  93  29
Position weight matrix (PWM)
A |  0.65 -3.13 -2.13 -5.77 -2.47 -1.78 -1.84 
C | -0.58  1.65 -3.25  1.65 -5.19 -5.19  1.28 
G | -0.40 -2.55  1.67 -3.11  1.66 -3.25 -3.25 
T | -0.68 -2.27 -5.77 -1.84 -2.47  1.08 -0.08
Macisaac et. al
MBP1Zhu et. al.P = 6.21e-48View matrix ↘
Sequence logo for MBP1
Fisher’s P-value6.21e-48
Information content13.1
Max PWM score12.01
Recommended cutoff7.28
Position frequency matrix (PFM)
A | 0.23 0.93 0.01 0.04 0.01 0.01 0.03 0.07 0.72 
C | 0.07 0.01 0.97 0.01 0.92 0.01 0.01 0.66 0.02 
G | 0.54 0.01 0.01 0.94 0.01 0.97 0.01 0.22 0.21 
T | 0.17 0.05 0.01 0.01 0.06 0.01 0.95 0.05 0.06
Position count matrix (PCM)
A |  23  93   1   4   1   1   3   7  72 
C |   7   1  97   1  92   1   1  66   2 
G |  54   1   1  94   1  97   1  22  21 
T |  17   5   1   1   6   1  95   5   6
Position weight matrix (PWM)
A | -0.33  1.07 -3.47 -2.08 -3.47 -3.47 -2.37 -1.52  0.81 
C | -0.94 -2.89  1.68 -2.89  1.63 -2.89 -2.89  1.30 -2.20 
G |  1.10 -2.89 -2.89  1.65 -2.89  1.68 -2.89  0.20  0.15 
T | -0.63 -1.86 -3.47 -3.47 -1.67 -3.47  1.09 -1.86 -1.67
Zhu et. al.
MBP1Zhao and StormoP = 1.07e-55View matrix ↘
Sequence logo for MBP1
Fisher’s P-value1.07e-55
Information content6.859
Max PWM score7.5
Recommended cutoff6.69
Position frequency matrix (PFM)
A | 0.539 0.009 0.263 0.013 0.014 0.344 0.317 0.394 
C | 0.126 0.953 0.015 0.868 0.149 0.116 0.254 0.200 
G | 0.181 0.001 0.700 0.019 0.813 0.098 0.145 0.179 
T | 0.153 0.036 0.023 0.101 0.024 0.442 0.284 0.227
Position count matrix (PCM)
A |  53   0  26   1   1  34  31  39 
C |  12  95   1  86  14  11  25  20 
G |  18   0  70   1  81   9  14  17 
T |  15   3   2  10   2  44  28  22
Position weight matrix (PWM)
A |  0.52 -3.57 -0.20 -3.20 -3.13  0.07 -0.01  0.21 
C | -0.36  1.67 -2.48  1.57 -0.19 -0.44  0.34  0.11 
G |  0.01 -5.19  1.36 -2.25  1.51 -0.61 -0.22 -0.01 
T | -0.74 -2.18 -2.63 -1.15 -2.59  0.32 -0.12 -0.34
Zhao and Stormo
03 / EXPERIMENTAL CONTEXT

Gene-level annotations and interactions.

Genes bound in ChIP-chip experiments 229 genes

YAL002W, YAL062W, YAR007C, YAR008W, YBL002W, YBL003C, YBL023C, YBR050C, YBR070C, YBR071W, YBR077C, YBR078W, YBR162C, YBR162W-A, YBR190W, YBR191W, YCL061C, YCR063W, YCR064C, YCR065W, YCR066W, YDL003W, YDL017W, YDL018C, YDL101C, YDL105W, YDL106C, YDL227C, YDR042C, YDR097C, YDR113C, YDR115W, YDR228C, YDR229W, YDR263C, YDR279W, YDR309C, YDR324C, YDR325W, YDR451C, YDR452W, YDR500C, YDR501W, YDR507C, YDR509W, YDR524C, YDR525W, YDR526C, YDR528W, YEL061C, YEL076W-C, YEL077C, YER046W, YER070W, YER071C, YER072W, YER078C, YER079W, YER087C-A, YER094C, YER095W, YER111C, YER112W, YER118C, YER120W, YER124C, YER125W, YER126C, YER127W, YER189W, YER190W, YFL011W, YFL013W-A, YFR017C, YGL038C, YGL147C, YGL190C, YGR013W, YGR041W, YGR085C, YGR109C, YGR109W-A, YGR109W-B, YGR110W, YGR111W, YGR125W, YGR165W, YGR180C, YGR188C, YGR189C, YGR191W, YGR221C, YHL012W, YHL013C, YHR061C, YHR143W, YHR149C, YHR150W, YHR151C, YHR152W, YHR193C, YHR194W, YHR195W, YIL026C, YIL123W, YJL045W, YJL073W, YJL074C, YJL080C, YJL115W, YJL116C, YJL148W, YJL158C, YJL184W, YJL185C, YJL186W, YJL187C, YJL194W, YJL196C, YJR030C, YJR044C, YKL084W, YKL096W-A, YKL097C, YKL112W, YKL113C, YKL142W, YKL150W, YKL151C, YLL063C, YLR049C, YLR055C, YLR056W, YLR103C, YLR104W, YLR105C, YLR286C, YLR300W, YLR354C, YLR367W, YLR378C, YLR380W, YLR382C, YLR383W, YLR397C, YLR399C, YLR400W, YLR437C, YLR438W, YLR439W, YML003W, YML004C, YML027W, YML028W, YML100W, YML101C, YML102C-A, YML102W, YML103C, YML131W, YMR014W, YMR026C, YMR027W, YMR056C, YMR070W, YMR076C, YMR077C, YMR144W, YMR165C, YMR179W, YMR199W, YMR215W, YMR261C, YMR262W, YMR279C, YMR304C-A, YMR305C, YMR306W, YNL078W, YNL079C, YNL088W, YNL089C, YNL154C, YNL231C, YNL238W, YNL241C, YNL273W, YNL274C, YNL289W, YNL295W, YNL297C, YNL298W, YNL312W, YNL313C, YNR009W, YNR016C, YNR018W, YNR044W, YOR066W, YOR074C, YOR075W, YOR076C, YOR077W, YOR236W, YOR246C, YOR247W, YOR248W, YOR268C, YOR269W, YOR372C, YOR373W, YPL018W, YPL019C, YPL050C, YPL056C, YPL081W, YPL082C, YPL126W, YPL127C, YPL152W, YPL153C, YPL198W, YPL230W, YPR008W, YPR017C, YPR018W, YPR075C, YPR119W, YPR120C

Genes affected by TF deletion 47 genes

YOL017W, YKL045W, YMR192W, YPL240C, YJL118W, YKL075C, YLR030W, YPL014W, YPL016W, YCL017C, YCL057W, YIL156W, YNL283C, YOR043W, YER124C, YHR149C, YBR070C, YNL189W, YBR071W, YOR324C, YOR354C, YPL137C, YER059W, YLR161W, YNL312W, YNL102W, YLR042C, YNL064C, YLR103C, YOL126C, YER095W, YER070W, YOL119C, YJL196C, YNR009W, YPL127C, YLR297W, YLR050C, YMR186W, YMR034C, YNL043C, YOR248W, YPL075W, YBL051C, YBR089W, YFL068W, YGR203W

Genes supported by both experiments 12 genes

YBR070C, YBR071W, YER070W, YER095W, YER124C, YHR149C, YJL196C, YLR103C, YNL312W, YNR009W, YOR248W, YPL127C

Predicted TF–TF partners 16 genes

ABF1, ASH1, FKH1, FKH2, MET28, NDD1, REB1, RTG3, STB1, STB2, STB3, SUM1, SUT1, SWI4, SWI6, YDR026C

Explore 16 original interaction plots →