393:, and over 25 biotechnology, AI, and pharmaceutical investors. By mid-2021, it claimed to have nominated eight preclinical candidates. Another $ 60 million in new Series D financing was raised in 2022. As of 2023 it was reported that over $ 400 million had been invested in the company. In 2023, Zhavoronkov stated that he "moved the company's R&D to China to capitalize on 'half a trillion dollars' worth of infrastructure and hundreds of thousands of scientists to enable AI-designed drugs".
92:
45:
314:
to the generation of novel molecular structures with desired properties. In 2016, Insilico published an algorithm that it called the "Insilico
Pathway Activation Network Decomposition Analysis" or "iPANDA" algorithm, asserted to allow researchers "to quickly and efficiently analyze signaling and
279:, previously director of the Human Genome Project at the Department of Energy (DOE) and founder of Sequenom on the International Aging Research Portfolio (IARP), establishing a public data set tracking government research funding and outcomes. This work formed the basis for an
416:
to design potential new drugs. One was reported to have shown promising initial results when tested in mice. Research areas for therapeutics have included fibrosis, immunology, oncology and the central nervous system. To demonstrate the capacity of their proprietary
290:
for research and development programs in the pharmaceutical industry, using AI and deep-learning techniques to analyze how a compound will affect cells and what drugs can be used to treat the cells in addition to possible side effects. Through its
702:
Kadurin A, Nikolenko S, Khrabrov K, Aliper A, Zhavoronkov A (September 2017). "druGAN: An
Advanced Generative Adversarial Autoencoder Model for de Novo Generation of New Molecules with Desired Molecular Properties in Silico".
377:, to facilitate entry into the Chinese market. Later in 2021 after developing a novel preclinical candidate molecule for a novel target, the company announced a series C $ 255 million megaround from
651:
405:
to "identify novel drug targets for untreated diseases", and has pursued dual-purpose therapeutics, "going after a specific disease or several diseases while targeting ageing at the same time".
460:, and 4B Technologies Limited. In 2023, it was reported that Insilico had initiated "one of the first mid-stage human trials of a drug discovered and designed by artificial intelligence".
624:
764:
373:
The company "focused exclusively on drug discovery until 2019 when it began developing its own therapeutics". In
January 2021, Insilico entered into a partnership with
1483:
1059:
1111:
739:
1463:
655:
1503:
1418:
1378:
1085:
1003:
950:
1205:
924:
1307:"Identification of Therapeutic Targets for Amyotrophic Lateral Sclerosis Using PandaOmics – An AI-Enabled Biological Target Discovery Platform"
1498:
1493:
765:"From Paper to Industrial-scale Platform: a 7-year Behind the Paper Journey from iPANDA to PandaOmics AI-Powered Target Discovery Platform"
1231:
191:
Alex
Zhavoronkov, PhD, Feng Ren, PhD, Alex Aliper, PhD, Michelle Chen, PhD, Nirav Jhaveri, MBA, Jimmy Lin, PhD, Quentin Vanhaelen, PhD
1508:
1488:
584:
1258:"Hallmarks of aging-based dual-purpose disease and age-associated targets predicted using PandaOmics AI-powered discovery engine"
559:
445:
824:
306:
The company has multiple collaborations in the applications of next-generation artificial intelligence technologies such as the
307:
235:
65:
1167:
401:
The company "applies DL, big data, and genomis for in silico drug discovery" for various conditions. It has sought to develop
1038:
328:
426:
299:
services to different pharmaceutical, biotechnology, and skin care companies. Insilico is known for hiring mainly through
1438:
1060:"Breaking Big Pharma's AI barrier: Insilico Medicine uncovers novel target, new drug for pulmonary fibrosis in 18 months"
898:
488:
57:
390:
608:
Zhavoronkov A, Cantor CR, "Methods for structuring scientific knowledge from many areas related to aging research",
61:
346:
and other local competitions. By mid-2017, Insilico had raised $ 8.26 million in funding from investors including
782:
Putin E, Asadulaev A, Ivanenkov Y, Aladinskiy V, Sanchez-Lengeling B, Aspuru-Guzik A, Zhavoronkov A (June 2018).
976:
441:
437:
418:
413:
402:
359:
347:
280:
175:
1185:
614:(2011); 6(7):e22597. doi: 10.1371/journal.pone.0022597. Epub 2011 Jul 22. PMID 21799912; PMCID: PMC3142169.
449:
324:
311:
231:
143:
433:
409:
1086:"With a new $ 255M megaround in hand, Alex Zhavoronkov has big plans for Insilico. Are they feasible?"
625:"New partnership uses artificial intelligence methods to develop solutions for preventing early aging"
355:
316:
871:
532:
457:
1397:
1137:
31:
1346:
1328:
1287:
805:
720:
247:
925:"AI Is Helping This Anti-Aging Startup Uncover Ways for You to Live a Longer, Healthier Life"
1423:
1336:
1318:
1277:
1269:
1190:
1171:
795:
712:
296:
1402:
1112:"AI drug discovery platform Insilico Medicine announces $ 255 million in Series C funding"
872:"JHU alumni-run A-Level Capital to support AI-powered drug discovery at Insilico Medicine"
382:
951:"Insilico, Juvenescence joint venture to develop AI-discovered molecules into new drugs"
370:, Sinovation, Lilly Asia Ventures, Pavilion Capital, BOLD Capital, and other investors.
1446:
1341:
1306:
1282:
1257:
378:
315:
metabolic pathway perturbation states using gene expression data". In conjunction with
287:
276:
258:
91:
17:
1004:"Insilico raises $ 37M with plans to bring its AI to more drug discovery partnerships"
716:
1477:
1305:
Pun FW, Liu BH, Long X, Leung HW, Leung GH, Mewborne QT, et al. (28 June 2022).
421:
platforms, the company published two projects on identifying therapeutic targets for
251:
239:
179:
152:
110:
444:, focusing on ageing. For ALS, the company worked with researchers from Answer ALS,
374:
223:
1256:
Pun FW, Leung GH, Leung HW, Liu BH, Long X, Ozerov IV, et al. (March 2022).
1365:
Senolytic: Selectively induce death of senescent cells to improve humans' health
1168:"Big investors pour funds into longevity research, accelerating growth in field"
850:"AgeHack@MLBootCamp: The first Eurasian hackathon on AI for longevity to launch"
849:
453:
363:
286:
Zhavoronkov assertedly founded
Insilico Medicine in 2014, as an alternative to
1323:
1043:
351:
1332:
800:
783:
1464:
Insilico
Medicine’s AI-Driven Platform Pushes The Envelope Of Drug Discovery
977:"Insilico Medicine signs deal to advance use of AI in discovering new drugs"
899:"Billionaire Jim Mellon invests in anti-ageing research firm - Pharmaphorum"
343:
300:
255:
227:
148:
1350:
1291:
809:
724:
1273:
1398:"Biotech begins human trials of drug designed by artificial intelligence"
610:
464:
463:
Outside of human drugs, in 2021 the company partnered with Swiss company
271:
243:
319:'s group at Harvard, they published a journal article about an improved
560:"GlaxoSmithKline taps Baltimore's Insilico for AI-based drug discovery"
386:
44:
784:"Reinforced Adversarial Neural Computer for de Novo Molecular Design"
422:
335:
1379:"AI Finds Potential Drug Targets for Amyotrophic Lateral Sclerosis"
1039:"Hong Kong's AI drug discovery firm Insilico closes $ 60M Series D"
367:
342:
resources in
Belgium, Russia, and the UK and hires talent through
54:
may have been created or edited in return for undisclosed payments
354:, and Juvenescence. In 2019 it raised another $ 37 million from
334:
In 2017, Insilico was named one of the Top five AI companies by
1206:"An AI system identified a potential new drug in just 46 days"
269:
In 2011, Alex
Zhavoronkov published an article in the journal
38:
1138:"AI drug discovery start-up Insilico raises more than $ 255m"
533:"Insilico Medicine launches a drug discovery platform ALS.AI"
408:
In 2019, the company in partnership with researchers at the
30:
For the general use of computer simulation in medicine, see
825:"Nvidia identifies the top 5 AI startups for social impact"
740:"Here's How Pharma Is Using AI Deep Learning To Cure Aging"
323:
architecture for molecular generation which combines GANs,
208:
677:
320:
1419:"AI Finds Drug Candidate for Liver Cancer in 30 Days"
652:"Can artificial intelligence aid human age-reversal?"
432:
The company has collaborated with scientists at the
60:. It may require cleanup to comply with Knowledge's
1439:
AI is becoming a weapon in the battle against pests
203:
195:
185:
169:
159:
139:
131:
116:
106:
98:
1232:"This Startup Used AI To Design A Drug In 21 Days"
338:for its potential for social impact. Insilico has
242:, at The Cure by Deerfield. The company combines
1383:GEN - Genetic Engineering and Biotechnology News
1186:Want to live to 150? The world needs more humans
1166:Tan, Dawn; Baker, Jalelah Abu (4 January 2023).
339:
1032:
1030:
1028:
1026:
1024:
519:Computer Aided Pharmaceutics and Drug Delivery
1161:
1159:
8:
788:Journal of Chemical Information and Modeling
429:in 29 March and 28 June 2022, respectively.
303:such as their own MolHack online hackathon.
84:
446:Johns Hopkins University School of Medicine
90:
83:
1340:
1322:
1281:
799:
769:Nature Portfolio Bioengineering Community
512:
510:
283:(AI) pharmacological analysis platform.
489:"Insilico Medicine raises $ 10 million"
476:
1437:Andrew Noël and Agnieszka de Sousa, "
7:
1484:Biotechnology companies of Hong Kong
222:is a biotechnology company based in
585:"InSilico Medicine Company Profile"
482:
480:
25:
1504:Organizations established in 2014
1377:Sarkar, Anjali A. (7 July 2022).
717:10.1021/acs.molpharmaceut.7b00346
43:
1417:Rosso, Cami (25 January 2023).
1311:Frontiers in Aging Neuroscience
308:generative adversarial networks
295:division, the company provides
236:Chinese University of Hong Kong
897:McConaghie A (11 April 2017).
329:differentiable neural computer
1:
1396:Smyth, Jamie (26 June 2023).
823:Takahashi D (23 April 2017).
558:Al Idrus A (16 August 2017).
517:Saharan, Vikas Anand (2022).
427:amyotrophic lateral sclerosis
56:, a violation of Knowledge's
1499:Life extension organizations
1494:Biogerontology organizations
1443:Owensboro Messenger-Inquirer
949:Fassbender M (August 2017).
487:Gantz S (23 February 2017).
1058:Hale C (22 February 2021).
650:Sandle T (12 August 2017).
521:. Springer. p. 363-64.
391:Mirae Asset Financial Group
1525:
1449:, 7 February 2021), p. A5.
1204:Jee C (3 September 2019).
1194:(2 April 2023), p. K1, K5.
1037:Liao, Rita (6 June 2022).
975:Babcock S (28 July 2017).
923:Galeon D (2 August 2017).
29:
1324:10.3389/fnagi.2022.914017
1110:Betuel E (22 June 2021).
1084:Gelman M (22 June 2021).
89:
1509:Warburg Pincus companies
1489:Drug discovery companies
1002:Hale C (14 April 2021).
801:10.1021/acs.jcim.7b00690
358:, Eight Roads Ventures,
738:Cox P (14 March 2017).
705:Molecular Pharmaceutics
442:University of Liverpool
438:George Mason University
360:Qiming Venture Partners
350:, JHU A-Level Capital,
348:Deep Knowledge Ventures
281:artificial intelligence
176:Artificial intelligence
18:Draft:Insilico Medicine
1144:. London. 22 June 2021
955:Outsourcing-Pharma.com
450:Harvard Medical School
325:reinforcement learning
312:reinforcement learning
232:Hong Kong Science Park
1274:10.18632/aging.203960
1210:MIT Technology Review
434:University of Chicago
410:University of Toronto
66:neutral point of view
27:Biotechnology company
771:. 13 September 2022.
495:. Tribune Publishing
356:Fidelity Investments
1470:(15 December 2022).
678:"MolHack Hackathon"
458:Tsinghua University
161:Number of locations
86:
1462:Deborah Borfitz, "
32:In silico medicine
1184:Raiany Romanni, "
658:on 14 August 2017
493:The Baltimore Sun
317:Alan Aspuru-Guzik
248:big data analysis
220:Insilico Medicine
217:
216:
85:Insilico Medicine
82:
81:
16:(Redirected from
1516:
1450:
1435:
1429:
1428:
1424:Psychology Today
1414:
1408:
1407:
1393:
1387:
1386:
1374:
1368:
1361:
1355:
1354:
1344:
1326:
1302:
1296:
1295:
1285:
1268:(6): 2475–2506.
1253:
1247:
1246:
1244:
1242:
1227:
1221:
1220:
1218:
1216:
1201:
1195:
1191:The Boston Globe
1182:
1176:
1175:
1163:
1154:
1153:
1151:
1149:
1134:
1128:
1127:
1125:
1123:
1107:
1101:
1100:
1098:
1096:
1081:
1075:
1074:
1072:
1070:
1055:
1049:
1048:
1034:
1019:
1018:
1016:
1014:
999:
993:
992:
990:
988:
972:
966:
965:
963:
961:
946:
940:
939:
937:
935:
920:
914:
913:
911:
909:
894:
888:
887:
885:
883:
868:
862:
861:
859:
857:
846:
840:
839:
837:
835:
820:
814:
813:
803:
794:(6): 1194–1204.
779:
773:
772:
761:
755:
754:
752:
750:
735:
729:
728:
711:(9): 3098–3104.
699:
693:
692:
690:
688:
674:
668:
667:
665:
663:
654:. Archived from
647:
641:
640:
638:
636:
629:News-Medical.net
621:
615:
606:
600:
599:
597:
595:
581:
575:
574:
572:
570:
555:
549:
548:
546:
544:
529:
523:
522:
514:
505:
504:
502:
500:
484:
341:
322:
297:machine learning
213:
210:
135:Alex Zhavoronkov
127:
125:
94:
87:
77:
74:
62:content policies
47:
39:
21:
1524:
1523:
1519:
1518:
1517:
1515:
1514:
1513:
1474:
1473:
1459:
1454:
1453:
1436:
1432:
1416:
1415:
1411:
1403:Financial Times
1395:
1394:
1390:
1376:
1375:
1371:
1362:
1358:
1304:
1303:
1299:
1255:
1254:
1250:
1240:
1238:
1229:
1228:
1224:
1214:
1212:
1203:
1202:
1198:
1183:
1179:
1165:
1164:
1157:
1147:
1145:
1142:Financial Times
1136:
1135:
1131:
1121:
1119:
1118:. San Francisco
1109:
1108:
1104:
1094:
1092:
1083:
1082:
1078:
1068:
1066:
1057:
1056:
1052:
1036:
1035:
1022:
1012:
1010:
1001:
1000:
996:
986:
984:
974:
973:
969:
959:
957:
948:
947:
943:
933:
931:
922:
921:
917:
907:
905:
896:
895:
891:
881:
879:
870:
869:
865:
855:
853:
848:
847:
843:
833:
831:
822:
821:
817:
781:
780:
776:
763:
762:
758:
748:
746:
737:
736:
732:
701:
700:
696:
686:
684:
676:
675:
671:
661:
659:
649:
648:
644:
634:
632:
631:. 1 August 2017
623:
622:
618:
607:
603:
593:
591:
583:
582:
578:
568:
566:
557:
556:
552:
542:
540:
531:
530:
526:
516:
515:
508:
498:
496:
486:
485:
478:
473:
399:
383:Sequoia Capital
267:
207:
188:
172:
162:
155:
123:
121:
78:
72:
69:
64:, particularly
48:
35:
28:
23:
22:
15:
12:
11:
5:
1522:
1520:
1512:
1511:
1506:
1501:
1496:
1491:
1486:
1476:
1475:
1472:
1471:
1458:
1457:External links
1455:
1452:
1451:
1447:Bloomberg News
1430:
1409:
1388:
1369:
1367:(2022), p. 93.
1356:
1297:
1248:
1222:
1196:
1177:
1155:
1129:
1102:
1076:
1064:Fierce Biotech
1050:
1020:
1008:Fierce Biotech
994:
967:
941:
915:
889:
878:. 28 June 2017
863:
852:. 13 June 2017
841:
815:
774:
756:
730:
694:
669:
642:
616:
601:
576:
550:
524:
506:
475:
474:
472:
469:
398:
395:
379:Warburg Pincus
288:animal testing
277:Charles Cantor
266:
263:
259:drug discovery
215:
214:
205:
201:
200:
199:Drug discovery
197:
193:
192:
189:
186:
183:
182:
173:
170:
167:
166:
163:
160:
157:
156:
147:
141:
137:
136:
133:
129:
128:
118:
114:
113:
108:
104:
103:
100:
96:
95:
80:
79:
51:
49:
42:
26:
24:
14:
13:
10:
9:
6:
4:
3:
2:
1521:
1510:
1507:
1505:
1502:
1500:
1497:
1495:
1492:
1490:
1487:
1485:
1482:
1481:
1479:
1469:
1465:
1461:
1460:
1456:
1448:
1444:
1440:
1434:
1431:
1426:
1425:
1420:
1413:
1410:
1405:
1404:
1399:
1392:
1389:
1384:
1380:
1373:
1370:
1366:
1363:Fouad Sabry,
1360:
1357:
1352:
1348:
1343:
1338:
1334:
1330:
1325:
1320:
1316:
1312:
1308:
1301:
1298:
1293:
1289:
1284:
1279:
1275:
1271:
1267:
1263:
1259:
1252:
1249:
1237:
1233:
1226:
1223:
1211:
1207:
1200:
1197:
1193:
1192:
1187:
1181:
1178:
1173:
1169:
1162:
1160:
1156:
1143:
1139:
1133:
1130:
1117:
1113:
1106:
1103:
1091:
1087:
1080:
1077:
1065:
1061:
1054:
1051:
1046:
1045:
1040:
1033:
1031:
1029:
1027:
1025:
1021:
1009:
1005:
998:
995:
982:
978:
971:
968:
956:
952:
945:
942:
930:
926:
919:
916:
904:
900:
893:
890:
877:
873:
867:
864:
851:
845:
842:
830:
826:
819:
816:
811:
807:
802:
797:
793:
789:
785:
778:
775:
770:
766:
760:
757:
745:
741:
734:
731:
726:
722:
718:
714:
710:
706:
698:
695:
683:
679:
673:
670:
657:
653:
646:
643:
630:
626:
620:
617:
613:
612:
605:
602:
590:
586:
580:
577:
565:
564:FierceBiotech
561:
554:
551:
539:. 1 June 2017
538:
534:
528:
525:
520:
513:
511:
507:
494:
490:
483:
481:
477:
470:
468:
467:weedkillers.
466:
461:
459:
455:
451:
447:
443:
439:
435:
430:
428:
424:
420:
415:
411:
406:
404:
396:
394:
392:
388:
384:
380:
376:
371:
369:
365:
361:
357:
353:
349:
345:
337:
332:
330:
326:
318:
313:
309:
304:
302:
298:
294:
289:
284:
282:
278:
274:
273:
264:
262:
260:
257:
253:
252:deep learning
249:
245:
241:
237:
233:
229:
225:
221:
212:
206:
202:
198:
194:
190:
184:
181:
180:deep learning
177:
174:
168:
164:
158:
154:
153:New York City
150:
145:
142:
138:
134:
130:
119:
115:
112:
111:Biotechnology
109:
105:
101:
97:
93:
88:
76:
67:
63:
59:
55:
52:This article
50:
46:
41:
40:
37:
33:
19:
1468:Bio-IT World
1467:
1442:
1433:
1422:
1412:
1401:
1391:
1382:
1372:
1364:
1359:
1314:
1310:
1300:
1265:
1261:
1251:
1239:. Retrieved
1235:
1225:
1213:. Retrieved
1209:
1199:
1189:
1180:
1146:. Retrieved
1141:
1132:
1120:. Retrieved
1115:
1105:
1093:. Retrieved
1089:
1079:
1067:. Retrieved
1063:
1053:
1042:
1011:. Retrieved
1007:
997:
985:. Retrieved
981:Technical.ly
980:
970:
958:. Retrieved
954:
944:
934:12 September
932:. Retrieved
928:
918:
908:12 September
906:. Retrieved
903:Pharmaphorum
902:
892:
882:12 September
880:. Retrieved
875:
866:
854:. Retrieved
844:
832:. Retrieved
828:
818:
791:
787:
777:
768:
759:
749:12 September
747:. Retrieved
743:
733:
708:
704:
697:
685:. Retrieved
681:
672:
660:. Retrieved
656:the original
645:
633:. Retrieved
628:
619:
609:
604:
592:. Retrieved
588:
579:
567:. Retrieved
563:
553:
541:. Retrieved
536:
527:
518:
497:. Retrieved
492:
462:
431:
407:
400:
375:Fosun Pharma
372:
333:
305:
292:
285:
270:
268:
224:Pak Shek Kok
219:
218:
144:Science Park
140:Headquarters
99:Company type
73:January 2023
70:
58:terms of use
53:
36:
983:. Baltimore
876:EurekAlert!
829:VentureBeat
682:molhack.com
537:EurekAlert!
454:Mayo Clinic
364:WuXi AppTec
310:(GANs) and
171:Area served
1478:Categories
1317:: 914017.
1116:Techcrunch
1044:TechCrunch
471:References
352:Jim Mellon
344:hackathons
301:hackathons
187:Key people
1333:1663-4365
1241:14 August
1230:Knapp A.
1215:14 August
1090:Endpoints
987:28 August
960:28 August
856:28 August
834:28 August
687:10 August
662:28 August
635:28 August
594:28 August
589:PitchBook
569:28 August
543:28 August
293:Pharma.AI
275:with Dr.
256:in silico
238:, and in
234:near the
228:Hong Kong
149:Hong Kong
1351:35837482
1292:35347083
1013:14 April
929:Futurism
810:29762023
725:28703000
611:PLOS One
465:Syngenta
397:Research
327:, and a
272:PLOS One
244:genomics
240:New York
209:insilico
196:Services
107:Industry
1342:9273868
1283:9004567
1148:23 July
1122:23 July
1095:23 July
1069:23 July
499:16 July
412:, used
387:Orbimed
340:R&D
265:History
204:Website
132:Founder
122: (
117:Founded
102:Private
1349:
1339:
1331:
1290:
1280:
1236:Forbes
808:
744:Forbes
723:
440:, and
423:ageing
336:NVIDIA
250:, and
1445:(via
1262:Aging
368:Baidu
1347:PMID
1329:ISSN
1288:PMID
1243:2020
1217:2020
1150:2021
1124:2021
1097:2021
1071:2021
1015:2021
989:2017
962:2017
936:2017
910:2017
884:2017
858:2017
836:2017
806:PMID
751:2017
721:PMID
689:2018
664:2017
637:2017
596:2017
571:2017
545:2017
501:2020
425:and
254:for
211:.com
124:2014
120:2014
1466:",
1441:",
1337:PMC
1319:doi
1278:PMC
1270:doi
1188:",
1172:CNA
796:doi
713:doi
321:GAN
230:in
68:.
1480::
1421:.
1400:.
1381:.
1345:.
1335:.
1327:.
1315:14
1313:.
1309:.
1286:.
1276:.
1266:14
1264:.
1260:.
1234:.
1208:.
1170:.
1158:^
1140:.
1114:.
1088:.
1062:.
1041:.
1023:^
1006:.
979:.
953:.
927:.
901:.
874:.
827:.
804:.
792:58
790:.
786:.
767:.
742:.
719:.
709:14
707:.
680:.
627:.
587:.
562:.
535:.
509:^
491:.
479:^
456:,
452:,
448:,
436:,
419:AI
414:AI
403:AI
389:,
385:,
381:,
366:,
362:,
331:.
261:.
246:,
226:,
178:,
151:;
146:,
1427:.
1406:.
1385:.
1353:.
1321::
1294:.
1272::
1245:.
1219:.
1174:.
1152:.
1126:.
1099:.
1073:.
1047:.
1017:.
991:.
964:.
938:.
912:.
886:.
860:.
838:.
812:.
798::
753:.
727:.
715::
691:.
666:.
639:.
598:.
573:.
547:.
503:.
165:6
126:)
75:)
71:(
34:.
20:)
Text is available under the Creative Commons Attribution-ShareAlike License. Additional terms may apply.
