What compounds target FER?

BiohacksAI has identified 45 compounds that interact with FER (FER tyrosine kinase). Top compounds include: ibrutinib, foretinib, tozasertib, ceritinib, bosutinib. Each compound is ranked by evidence score derived from PubMed bioassay confidence and assay count.

What is FER (FER tyrosine kinase)?

FER is FER tyrosine kinase. It is a molecular target for 45 compounds documented in PubMed bioassay data. UniProt ID: P16591. NCBI Gene ID: 2241.

FER

MOLECULAR TARGET

FER tyrosine kinase

UniProt: P16591 NCBI Gene: 224145 compounds

FER (FER tyrosine kinase) is targeted by 45 compounds in the BiohacksAI evidence corpus, derived from PubMed bioassay data. Each compound is ranked by confidence score (log-normalized assay count × evidence quality).

Compounds Targeting FER

Ranked by bioassay confidence score (PubChem active assay count × evidence quality).

#	Compound	Confidence	Active Assays
1	ibrutinib	4.86	128
2	foretinib	4.34	76
3	tozasertib	4.33	75
4	ceritinib	4.19	65
5	bosutinib	4.08	58
6	doramapimod	4.06	57
7	midostaurin	3.85	46
8	brigatinib	3.81	44
9	pazopanib	3.69	39
10	neratinib	3.66	38
11	nintedanib	3.61	36
12	pelitinib	3.50	32
13	tae 684	3.43	30
14	fedratinib	3.40	29
15	gilteritinib	3.40	29
16	mln 8054	3.33	27
17	alectinib	3.18	23
18	rociletinib	3.18	23
19	at 9283	3.09	21
20	lestaurtinib	3.04	20
21	pacritinib	3.04	20
22	pf 03758309	3.00	19
23	danusertib	2.94	18
24	r 406	2.83	16
25	k 252a	2.83	16
26	pf 00562271	2.77	15
27	apitolisib	2.71	14
28	kw 2449	2.64	13
29	ast 487	2.56	12
30	zotiraciclib	2.56	12
31	raf 265	2.48	11
32	defactinib	2.48	11
33	mk 5108	2.48	11
34	lorlatinib	2.48	11
35	azd 7762	2.30	9
36	bms 754807	2.30	9
37	azd 1480	2.30	9
38	su 014813	2.20	8
39	rebastinib	2.20	8
40	asp 3026	2.08	7
41	cep 32496	1.95	6
42	pf 03814735	1.79	5
43	ucn 01	1.79	5
44	Crizotinib	0.69	1
45	sp600125	0.69	1

About FER as a Drug Target

FER (FER tyrosine kinase) is a well-characterized molecular target in biomedical research. BiohacksAI tracks 45 compounds with documented FER interaction from PubChem bioassay data, cross-referenced with PubMed clinical evidence. The confidence score reflects the log-normalized count of active PubChem assays, weighted by evidence quality from the BiohacksAI corpus.

FER inhibitors, activators, and modulators are of interest in research areas including longevity, metabolic health, and neurological function. Each compound profile includes evidence score, RCT count, human study ratio, research velocity, and domain relevance.