382:, 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".
81:
34:
303:
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
268:, 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
405:
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
279:
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
691:
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".
366:, 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
640:
394:
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".
449:, 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".
613:
753:
362:
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
1048:
1100:
728:
1452:
644:
1407:
1367:
1074:
992:
939:
1194:
913:
1296:"Identification of Therapeutic Targets for Amyotrophic Lateral Sclerosis Using PandaOmics – An AI-Enabled Biological Target Discovery Platform"
1472:
754:"From Paper to Industrial-scale Platform: a 7-year Behind the Paper Journey from iPANDA to PandaOmics AI-Powered Target Discovery Platform"
1492:
1220:
180:
Alex
Zhavoronkov, PhD, Feng Ren, PhD, Alex Aliper, PhD, Michelle Chen, PhD, Nirav Jhaveri, MBA, Jimmy Lin, PhD, Quentin Vanhaelen, PhD
573:
1247:"Hallmarks of aging-based dual-purpose disease and age-associated targets predicted using PandaOmics AI-powered discovery engine"
548:
813:
295:
The company has multiple collaborations in the applications of next-generation artificial intelligence technologies such as the
1156:
390:
The company "applies DL, big data, and genomis for in silico drug discovery" for various conditions. It has sought to develop
1487:
1482:
1027:
288:
services to different pharmaceutical, biotechnology, and skin care companies. Insilico is known for hiring mainly through
1427:
1049:"Breaking Big Pharma's AI barrier: Insilico Medicine uncovers novel target, new drug for pulmonary fibrosis in 18 months"
887:
477:
46:
1497:
1477:
597:
Zhavoronkov A, Cantor CR, "Methods for structuring scientific knowledge from many areas related to aging research",
434:
335:
and other local competitions. By mid-2017, Insilico had raised $ 8.26 million in funding from investors including
771:
Putin E, Asadulaev A, Ivanenkov Y, Aladinskiy V, Sanchez-Lengeling B, Aspuru-Guzik A, Zhavoronkov A (June 2018).
296:
224:
54:
317:
50:
415:
965:
1174:
603:(2011); 6(7):e22597. doi: 10.1371/journal.pone.0022597. Epub 2011 Jul 22. PMID 21799912; PMCID: PMC3142169.
379:
1075:"With a new $ 255M megaround in hand, Alex Zhavoronkov has big plans for Insilico. Are they feasible?"
614:"New partnership uses artificial intelligence methods to develop solutions for preventing early aging"
860:
521:
1386:
1126:
430:
426:
407:
402:
391:
348:
336:
269:
164:
438:
313:
300:
220:
132:
914:"AI Is Helping This Anti-Aging Startup Uncover Ways for You to Live a Longer, Healthier Life"
422:
398:
344:
1101:"AI drug discovery platform Insilico Medicine announces $ 255 million in Series C funding"
861:"JHU alumni-run A-Level Capital to support AI-powered drug discovery at Insilico Medicine"
305:
8:
446:
940:"Insilico, Juvenescence joint venture to develop AI-discovered molecules into new drugs"
359:, Sinovation, Lilly Asia Ventures, Pavilion Capital, BOLD Capital, and other investors.
1330:
1295:
1271:
1246:
304:
metabolic pathway perturbation states using gene expression data". In conjunction with
20:
993:"Insilico raises $ 37M with plans to bring its AI to more drug discovery partnerships"
705:
1335:
1317:
1294:
Pun FW, Liu BH, Long X, Leung HW, Leung GH, Mewborne QT, et al. (28 June 2022).
1276:
794:
709:
410:
platforms, the company published two projects on identifying therapeutic targets for
236:
433:, focusing on ageing. For ALS, the company worked with researchers from Answer ALS,
1412:
1325:
1307:
1266:
1258:
1179:
1160:
784:
701:
285:
1391:
1245:
Pun FW, Leung GH, Leung HW, Liu BH, Long X, Ozerov IV, et al. (March 2022).
371:
1354:
Senolytic: Selectively induce death of senescent cells to improve humans' health
1157:"Big investors pour funds into longevity research, accelerating growth in field"
839:"AgeHack@MLBootCamp: The first Eurasian hackathon on AI for longevity to launch"
838:
1435:
367:
276:
275:
Zhavoronkov assertedly founded
Insilico Medicine in 2014, as an alternative to
265:
247:
1312:
1466:
1321:
789:
772:
240:
228:
168:
141:
99:
1453:
Insilico
Medicine’s AI-Driven Platform Pushes The Envelope Of Drug Discovery
966:"Insilico Medicine signs deal to advance use of AI in discovering new drugs"
888:"Billionaire Jim Mellon invests in anti-ageing research firm - Pharmaphorum"
1339:
1280:
798:
713:
363:
212:
1262:
1387:"Biotech begins human trials of drug designed by artificial intelligence"
452:
Outside of human drugs, in 2021 the company partnered with Swiss company
442:
352:
80:
308:'s group at Harvard, they published a journal article about an improved
1032:
549:"GlaxoSmithKline taps Baltimore's Insilico for AI-based drug discovery"
340:
773:"Reinforced Adversarial Neural Computer for de Novo Molecular Design"
332:
289:
244:
216:
137:
1368:"AI Finds Potential Drug Targets for Amyotrophic Lateral Sclerosis"
1028:"Hong Kong's AI drug discovery firm Insilico closes $ 60M Series D"
599:
453:
260:
232:
331:
resources in
Belgium, Russia, and the UK and hires talent through
43:
may have been created or edited in return for undisclosed payments
770:
375:
343:, and Juvenescence. In 2019 it raised another $ 37 million from
323:
In 2017, Insilico was named one of the Top five AI companies by
411:
324:
1195:"An AI system identified a potential new drug in just 46 days"
690:
258:
In 2011, Alex
Zhavoronkov published an article in the journal
1127:"AI drug discovery start-up Insilico raises more than $ 255m"
522:"Insilico Medicine launches a drug discovery platform ALS.AI"
356:
397:
In 2019, the company in partnership with researchers at the
33:
19:
For the general use of computer simulation in medicine, see
814:"Nvidia identifies the top 5 AI startups for social impact"
729:"Here's How Pharma Is Using AI Deep Learning To Cure Aging"
312:
architecture for molecular generation which combines GANs,
197:
666:
309:
1408:"AI Finds Drug Candidate for Liver Cancer in 30 Days"
641:"Can artificial intelligence aid human age-reversal?"
421:
The company has collaborated with scientists at the
49:. It may require cleanup to comply with Knowledge's
1428:
AI is becoming a weapon in the battle against pests
1221:"This Startup Used AI To Design A Drug In 21 Days"
327:for its potential for social impact. Insilico has
231:, at The Cure by Deerfield. The company combines
1464:
1372:GEN - Genetic Engineering and Biotechnology News
1244:
1175:Want to live to 150? The world needs more humans
1155:Tan, Dawn; Baker, Jalelah Abu (4 January 2023).
328:
1293:
1167:
1021:
1019:
1017:
1015:
1013:
508:Computer Aided Pharmaceutics and Drug Delivery
1150:
1148:
1378:
777:Journal of Chemical Information and Modeling
418:in 29 March and 28 June 2022, respectively.
292:such as their own MolHack online hackathon.
1010:
435:Johns Hopkins University School of Medicine
1145:
937:
885:
79:
1329:
1311:
1270:
811:
788:
758:Nature Portfolio Bioengineering Community
501:
499:
1154:
546:
272:(AI) pharmacological analysis platform.
1359:
963:
505:
478:"Insilico Medicine raises $ 10 million"
1465:
1365:
1098:
1072:
911:
638:
496:
1426:Andrew Noël and Agnieszka de Sousa, "
1405:
1384:
475:
1473:Biotechnology companies of Hong Kong
1046:
1025:
990:
211:is a biotechnology company based in
27:
1192:
726:
574:"InSilico Medicine Company Profile"
471:
469:
13:
14:
1509:
1493:Organizations established in 2014
1445:
1366:Sarkar, Anjali A. (7 July 2022).
1218:
706:10.1021/acs.molpharmaceut.7b00346
466:
32:
1420:
1406:Rosso, Cami (25 January 2023).
1399:
1346:
1300:Frontiers in Aging Neuroscience
1287:
1238:
1212:
1186:
1119:
1092:
1066:
1040:
984:
957:
931:
905:
879:
853:
831:
805:
764:
746:
720:
684:
297:generative adversarial networks
284:division, the company provides
225:Chinese University of Hong Kong
886:McConaghie A (11 April 2017).
659:
632:
606:
591:
566:
540:
514:
318:differentiable neural computer
1:
1385:Smyth, Jamie (26 June 2023).
812:Takahashi D (23 April 2017).
547:Al Idrus A (16 August 2017).
506:Saharan, Vikas Anand (2022).
459:
416:amyotrophic lateral sclerosis
45:, a violation of Knowledge's
1488:Life extension organizations
1483:Biogerontology organizations
1432:Owensboro Messenger-Inquirer
938:Fassbender M (August 2017).
476:Gantz S (23 February 2017).
7:
1047:Hale C (22 February 2021).
639:Sandle T (12 August 2017).
510:. Springer. p. 363-64.
385:
380:Mirae Asset Financial Group
10:
1514:
1438:, 7 February 2021), p. A5.
1193:Jee C (3 September 2019).
1183:(2 April 2023), p. K1, K5.
1026:Liao, Rita (6 June 2022).
964:Babcock S (28 July 2017).
912:Galeon D (2 August 2017).
253:
18:
1313:10.3389/fnagi.2022.914017
1099:Betuel E (22 June 2021).
1073:Gelman M (22 June 2021).
192:
184:
174:
158:
148:
128:
120:
105:
95:
87:
78:
1498:Warburg Pincus companies
1478:Drug discovery companies
991:Hale C (14 April 2021).
790:10.1021/acs.jcim.7b00690
347:, Eight Roads Ventures,
727:Cox P (14 March 2017).
694:Molecular Pharmaceutics
431:University of Liverpool
427:George Mason University
349:Qiming Venture Partners
339:, JHU A-Level Capital,
337:Deep Knowledge Ventures
270:artificial intelligence
165:Artificial intelligence
1133:. London. 22 June 2021
944:Outsourcing-Pharma.com
439:Harvard Medical School
314:reinforcement learning
301:reinforcement learning
221:Hong Kong Science Park
1263:10.18632/aging.203960
1199:MIT Technology Review
423:University of Chicago
399:University of Toronto
55:neutral point of view
16:Biotechnology company
760:. 13 September 2022.
484:. Tribune Publishing
345:Fidelity Investments
1459:(15 December 2022).
667:"MolHack Hackathon"
447:Tsinghua University
150:Number of locations
75:
1451:Deborah Borfitz, "
73:
21:In silico medicine
1173:Raiany Romanni, "
647:on 14 August 2017
482:The Baltimore Sun
306:Alan Aspuru-Guzik
237:big data analysis
209:Insilico Medicine
206:
205:
74:Insilico Medicine
71:
70:
1505:
1439:
1424:
1418:
1417:
1413:Psychology Today
1403:
1397:
1396:
1382:
1376:
1375:
1363:
1357:
1350:
1344:
1343:
1333:
1315:
1291:
1285:
1284:
1274:
1257:(6): 2475–2506.
1242:
1236:
1235:
1233:
1231:
1216:
1210:
1209:
1207:
1205:
1190:
1184:
1180:The Boston Globe
1171:
1165:
1164:
1152:
1143:
1142:
1140:
1138:
1123:
1117:
1116:
1114:
1112:
1096:
1090:
1089:
1087:
1085:
1070:
1064:
1063:
1061:
1059:
1044:
1038:
1037:
1023:
1008:
1007:
1005:
1003:
988:
982:
981:
979:
977:
961:
955:
954:
952:
950:
935:
929:
928:
926:
924:
909:
903:
902:
900:
898:
883:
877:
876:
874:
872:
857:
851:
850:
848:
846:
835:
829:
828:
826:
824:
809:
803:
802:
792:
783:(6): 1194–1204.
768:
762:
761:
750:
744:
743:
741:
739:
724:
718:
717:
700:(9): 3098–3104.
688:
682:
681:
679:
677:
663:
657:
656:
654:
652:
643:. Archived from
636:
630:
629:
627:
625:
618:News-Medical.net
610:
604:
595:
589:
588:
586:
584:
570:
564:
563:
561:
559:
544:
538:
537:
535:
533:
518:
512:
511:
503:
494:
493:
491:
489:
473:
330:
311:
286:machine learning
202:
199:
124:Alex Zhavoronkov
116:
114:
83:
76:
72:
66:
63:
51:content policies
36:
28:
1513:
1512:
1508:
1507:
1506:
1504:
1503:
1502:
1463:
1462:
1448:
1443:
1442:
1425:
1421:
1404:
1400:
1392:Financial Times
1383:
1379:
1364:
1360:
1351:
1347:
1292:
1288:
1243:
1239:
1229:
1227:
1217:
1213:
1203:
1201:
1191:
1187:
1172:
1168:
1153:
1146:
1136:
1134:
1131:Financial Times
1125:
1124:
1120:
1110:
1108:
1107:. San Francisco
1097:
1093:
1083:
1081:
1071:
1067:
1057:
1055:
1045:
1041:
1024:
1011:
1001:
999:
989:
985:
975:
973:
962:
958:
948:
946:
936:
932:
922:
920:
910:
906:
896:
894:
884:
880:
870:
868:
859:
858:
854:
844:
842:
837:
836:
832:
822:
820:
810:
806:
769:
765:
752:
751:
747:
737:
735:
725:
721:
689:
685:
675:
673:
665:
664:
660:
650:
648:
637:
633:
623:
621:
620:. 1 August 2017
612:
611:
607:
596:
592:
582:
580:
572:
571:
567:
557:
555:
545:
541:
531:
529:
520:
519:
515:
504:
497:
487:
485:
474:
467:
462:
388:
372:Sequoia Capital
256:
196:
177:
161:
151:
144:
112:
110:
67:
61:
58:
53:, particularly
37:
24:
17:
12:
11:
5:
1511:
1501:
1500:
1495:
1490:
1485:
1480:
1475:
1461:
1460:
1447:
1446:External links
1444:
1441:
1440:
1436:Bloomberg News
1419:
1398:
1377:
1358:
1356:(2022), p. 93.
1345:
1286:
1237:
1211:
1185:
1166:
1144:
1118:
1091:
1065:
1053:Fierce Biotech
1039:
1009:
997:Fierce Biotech
983:
956:
930:
904:
878:
867:. 28 June 2017
852:
841:. 13 June 2017
830:
804:
763:
745:
719:
683:
658:
631:
605:
590:
565:
539:
513:
495:
464:
463:
461:
458:
387:
384:
368:Warburg Pincus
277:animal testing
266:Charles Cantor
255:
252:
248:drug discovery
204:
203:
194:
190:
189:
188:Drug discovery
186:
182:
181:
178:
175:
172:
171:
162:
159:
156:
155:
152:
149:
146:
145:
136:
130:
126:
125:
122:
118:
117:
107:
103:
102:
97:
93:
92:
89:
85:
84:
69:
68:
40:
38:
31:
15:
9:
6:
4:
3:
2:
1510:
1499:
1496:
1494:
1491:
1489:
1486:
1484:
1481:
1479:
1476:
1474:
1471:
1470:
1468:
1458:
1454:
1450:
1449:
1437:
1433:
1429:
1423:
1415:
1414:
1409:
1402:
1394:
1393:
1388:
1381:
1373:
1369:
1362:
1355:
1352:Fouad Sabry,
1349:
1341:
1337:
1332:
1327:
1323:
1319:
1314:
1309:
1305:
1301:
1297:
1290:
1282:
1278:
1273:
1268:
1264:
1260:
1256:
1252:
1248:
1241:
1226:
1222:
1215:
1200:
1196:
1189:
1182:
1181:
1176:
1170:
1162:
1158:
1151:
1149:
1132:
1128:
1122:
1106:
1102:
1095:
1080:
1076:
1069:
1054:
1050:
1043:
1035:
1034:
1029:
1022:
1020:
1018:
1016:
1014:
998:
994:
987:
971:
967:
960:
945:
941:
934:
919:
915:
908:
893:
889:
882:
866:
862:
856:
840:
834:
819:
815:
808:
800:
796:
791:
786:
782:
778:
774:
767:
759:
755:
749:
734:
730:
723:
715:
711:
707:
703:
699:
695:
687:
672:
668:
662:
646:
642:
635:
619:
615:
609:
602:
601:
594:
579:
575:
569:
554:
553:FierceBiotech
550:
543:
528:. 1 June 2017
527:
523:
517:
509:
502:
500:
483:
479:
472:
470:
465:
457:
456:weedkillers.
455:
450:
448:
444:
440:
436:
432:
428:
424:
419:
417:
413:
409:
404:
400:
395:
393:
383:
381:
377:
373:
369:
365:
360:
358:
354:
350:
346:
342:
338:
334:
326:
321:
319:
315:
307:
302:
298:
293:
291:
287:
283:
278:
273:
271:
267:
263:
262:
251:
249:
246:
242:
241:deep learning
238:
234:
230:
226:
222:
218:
214:
210:
201:
195:
191:
187:
183:
179:
173:
170:
169:deep learning
166:
163:
157:
153:
147:
143:
142:New York City
139:
134:
131:
127:
123:
119:
108:
104:
101:
100:Biotechnology
98:
94:
90:
86:
82:
77:
65:
56:
52:
48:
44:
41:This article
39:
35:
30:
29:
26:
22:
1457:Bio-IT World
1456:
1431:
1422:
1411:
1401:
1390:
1380:
1371:
1361:
1353:
1348:
1303:
1299:
1289:
1254:
1250:
1240:
1228:. Retrieved
1224:
1214:
1202:. Retrieved
1198:
1188:
1178:
1169:
1135:. Retrieved
1130:
1121:
1109:. Retrieved
1104:
1094:
1082:. Retrieved
1078:
1068:
1056:. Retrieved
1052:
1042:
1031:
1000:. Retrieved
996:
986:
974:. Retrieved
970:Technical.ly
969:
959:
947:. Retrieved
943:
933:
923:12 September
921:. Retrieved
917:
907:
897:12 September
895:. Retrieved
892:Pharmaphorum
891:
881:
871:12 September
869:. Retrieved
864:
855:
843:. Retrieved
833:
821:. Retrieved
817:
807:
780:
776:
766:
757:
748:
738:12 September
736:. Retrieved
732:
722:
697:
693:
686:
674:. Retrieved
670:
661:
649:. Retrieved
645:the original
634:
622:. Retrieved
617:
608:
598:
593:
581:. Retrieved
577:
568:
556:. Retrieved
552:
542:
530:. Retrieved
525:
516:
507:
486:. Retrieved
481:
451:
420:
396:
389:
364:Fosun Pharma
361:
322:
294:
281:
274:
259:
257:
213:Pak Shek Kok
208:
207:
133:Science Park
129:Headquarters
88:Company type
62:January 2023
59:
47:terms of use
42:
25:
972:. Baltimore
865:EurekAlert!
818:VentureBeat
671:molhack.com
526:EurekAlert!
443:Mayo Clinic
353:WuXi AppTec
299:(GANs) and
160:Area served
1467:Categories
1306:: 914017.
1105:Techcrunch
1033:TechCrunch
460:References
341:Jim Mellon
333:hackathons
290:hackathons
176:Key people
1322:1663-4365
1230:14 August
1219:Knapp A.
1204:14 August
1079:Endpoints
976:28 August
949:28 August
845:28 August
823:28 August
676:10 August
651:28 August
624:28 August
583:28 August
578:PitchBook
558:28 August
532:28 August
282:Pharma.AI
264:with Dr.
245:in silico
227:, and in
223:near the
217:Hong Kong
138:Hong Kong
1340:35837482
1281:35347083
1002:14 April
918:Futurism
799:29762023
714:28703000
600:PLOS One
454:Syngenta
386:Research
316:, and a
261:PLOS One
233:genomics
229:New York
198:insilico
185:Services
96:Industry
1331:9273868
1272:9004567
1137:23 July
1111:23 July
1084:23 July
1058:23 July
488:16 July
401:, used
376:Orbimed
329:R&D
254:History
193:Website
121:Founder
111: (
106:Founded
91:Private
1338:
1328:
1320:
1279:
1269:
1225:Forbes
797:
733:Forbes
712:
429:, and
412:ageing
325:NVIDIA
239:, and
1434:(via
1251:Aging
357:Baidu
1336:PMID
1318:ISSN
1277:PMID
1232:2020
1206:2020
1139:2021
1113:2021
1086:2021
1060:2021
1004:2021
978:2017
951:2017
925:2017
899:2017
873:2017
847:2017
825:2017
795:PMID
740:2017
710:PMID
678:2018
653:2017
626:2017
585:2017
560:2017
534:2017
490:2020
414:and
243:for
200:.com
113:2014
109:2014
1455:",
1430:",
1326:PMC
1308:doi
1267:PMC
1259:doi
1177:",
1161:CNA
785:doi
702:doi
310:GAN
219:in
57:.
1469::
1410:.
1389:.
1370:.
1334:.
1324:.
1316:.
1304:14
1302:.
1298:.
1275:.
1265:.
1255:14
1253:.
1249:.
1223:.
1197:.
1159:.
1147:^
1129:.
1103:.
1077:.
1051:.
1030:.
1012:^
995:.
968:.
942:.
916:.
890:.
863:.
816:.
793:.
781:58
779:.
775:.
756:.
731:.
708:.
698:14
696:.
669:.
616:.
576:.
551:.
524:.
498:^
480:.
468:^
445:,
441:,
437:,
425:,
408:AI
403:AI
392:AI
378:,
374:,
370:,
355:,
351:,
320:.
250:.
235:,
215:,
167:,
140:;
135:,
1416:.
1395:.
1374:.
1342:.
1310::
1283:.
1261::
1234:.
1208:.
1163:.
1141:.
1115:.
1088:.
1062:.
1036:.
1006:.
980:.
953:.
927:.
901:.
875:.
849:.
827:.
801:.
787::
742:.
716:.
704::
680:.
655:.
628:.
587:.
562:.
536:.
492:.
154:6
115:)
64:)
60:(
23:.
Text is available under the Creative Commons Attribution-ShareAlike License. Additional terms may apply.